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Journal Articles
- 2024
[j156]Omid Ghorbanzadeh
, Hejar Shahabi, Sepideh Tavakkoli Piralilou, Alessandro Crivellari, Laura Elena Cue La Rosa, Clement Atzberger, Jonathan Li, Pedram Ghamisi:
Contrastive Self-Supervised Learning for Globally Distributed Landslide Detection. IEEE Access 12: 118453-118466 (2024)- [j155]Ali Jamali, Swalpa Kumar Roy, Leila Hashemi Beni, Biswajeet Pradhan, Jonathan Li, Pedram Ghamisi:
Residual wave vision U-Net for flood mapping using dual polarization Sentinel-1 SAR imagery. Int. J. Appl. Earth Obs. Geoinformation 127: 103662 (2024) - [j154]Weikang Yu, Yonghao Xu, Pedram Ghamisi:
Universal adversarial defense in remote sensing based on pre-trained denoising diffusion models. Int. J. Appl. Earth Obs. Geoinformation 133: 104131 (2024) - [j153]Yiyan Zhang, Hongmin Gao, Jun Zhou, Chenkai Zhang, Pedram Ghamisi, Shufang Xu, Chenming Li, Bing Zhang:
A cross-modal feature aggregation and enhancement network for hyperspectral and LiDAR joint classification. Expert Syst. Appl. 258: 125145 (2024) - [j152]Zhen Yang, Jun Yue, Pedram Ghamisi, Shiliang Zhang, Jiayi Ma, Leyuan Fang:
Open Set Recognition in Real World. Int. J. Comput. Vis. 132(8): 3208-3231 (2024) - [j151]Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Peter M. Atkinson, Pedram Ghamisi:
Spatial-Gated Multilayer Perceptron for Land Use and Land Cover Mapping. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j150]Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Peter M. Atkinson, Pedram Ghamisi:
Attention Graph Convolutional Network for Disjoint Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j149]Ali Jamali, Swalpa Kumar Roy, Jonathan Li, Pedram Ghamisi:
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j148]Bohan Yang, Yushi Chen, Pedram Ghamisi:
LVM-StARS: Large Vision Model Soft Adaption for Remote Sensing Scene Classification. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j147]Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jón Atli Benediktsson, Jocelyn Chanussot:
SpectralGPT: Spectral Remote Sensing Foundation Model. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5227-5244 (2024) - [j146]Aldino Rizaldy, Ahmed J. Afifi, Pedram Ghamisi, Richard Gloaguen:
Improving Mineral Classification Using Multimodal Hyperspectral Point Cloud Data and Multi-Stream Neural Network. Remote. Sens. 16(13): 2336 (2024) - [j145]Ahmed J. Afifi, Samuel T. Thiele, Aldino Rizaldy, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann:
Tinto: Multisensor Benchmark for 3-D Hyperspectral Point Cloud Segmentation in the Geosciences. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j144]Shizhen Chang, Michael Kopp, Pedram Ghamisi, Bo Du:
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. IEEE Trans. Geosci. Remote. Sens. 62: 1-14 (2024) - [j143]Yidan Liu, Jun Yue, Shaobo Xia, Pedram Ghamisi, Weiying Xie, Leyuan Fang:
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives. IEEE Trans. Geosci. Remote. Sens. 62: 1-22 (2024) - [j142]Swalpa Kumar Roy, Atri Sukul, Ali Jamali, Juan Mario Haut, Pedram Ghamisi:
Cross Hyperspectral and LiDAR Attention Transformer: An Extended Self-Attention for Land Use and Land Cover Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-15 (2024) - [j141]Chenhong Sui, Guobin Yang, Danfeng Hong, Haipeng Wang, Jing Yao, Peter M. Atkinson, Pedram Ghamisi:
IG-GAN: Interactive Guided Generative Adversarial Networks for Multimodal Image Fusion. IEEE Trans. Geosci. Remote. Sens. 62: 1-19 (2024) - [j140]Yuduo Wang, Pedram Ghamisi:
RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question Answering. IEEE Trans. Geosci. Remote. Sens. 62: 1-13 (2024) - [j139]Weikang Yu, Xiaokang Zhang, Samiran Das, Xiaoxiang Zhu, Pedram Ghamisi:
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j138]Xiaokang Zhang, Wanjing Wu, Mi Zhang, Weikang Yu, Pedram Ghamisi:
Prototypical Unknown-Aware Multiview Consistency Learning for Open-Set Cross-Domain Remote Sensing Image Classification. IEEE Trans. Geosci. Remote. Sens. 62: 1-16 (2024) - [j137]Leyuan Fang, Peng Zhou, Xinxin Liu, Pedram Ghamisi, Si-Wei Chen:
Context Enhancing Representation for Semantic Segmentation in Remote Sensing Images. IEEE Trans. Neural Networks Learn. Syst. 35(3): 4138-4152 (2024) - 2023
- [j136]Ali Jamali, Swalpa Kumar Roy, Jonathan Li, Pedram Ghamisi:
TransU-Net++: Rethinking attention gated TransU-Net for deforestation mapping. Int. J. Appl. Earth Obs. Geoinformation 120: 103332 (2023) - [j135]Ali Jamali, Swalpa Kumar Roy, Pedram Ghamisi:
WetMapFormer: A unified deep CNN and vision transformer for complex wetland mapping. Int. J. Appl. Earth Obs. Geoinformation 120: 103333 (2023) - [j134]Jie Wu, Runmin Cong, Leyuan Fang, Chunle Guo, Bob Zhang, Pedram Ghamisi:
Unpaired remote sensing image super-resolution with content-preserving weak supervision neural network. Sci. China Inf. Sci. 66(1) (2023) - [j133]Jun Zhou, Fengchao Xiong, Lei Tong, Naoto Yokoya, Pedram Ghamisi:
Guest Editorial: Spectral imaging powered computer vision. IET Comput. Vis. 17(7): 723-725 (2023) - [j132]Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Behnood Rasti, Xiaobo Liu, Zhihua Cai:
Transformer-based contrastive prototypical clustering for multimodal remote sensing data. Inf. Sci. 649: 119655 (2023) - [j131]Ali Jamali, Swalpa Kumar Roy, Avik Bhattacharya, Pedram Ghamisi:
Local Window Attention Transformer for Polarimetric SAR Image Classification. IEEE Geosci. Remote. Sens. Lett. 20: 1-5 (2023) - [j130]Ratiranjan Jena, Abdallah Shanableh, Rami Al-Ruzouq, Biswajeet Pradhan, Mohamed Barakat A. Gibril, Mohamad Ali Khalil, Omid Ghorbanzadeh, Ganapathy Pattukandan Ganapathy, Pedram Ghamisi:
Explainable Artificial Intelligence (XAI) Model for Earthquake Spatial Probability Assessment in Arabian Peninsula. Remote. Sens. 15(9): 2248 (2023) - [j129]Ratiranjan Jena, Abdallah Shanableh, Rami Al-Ruzouq, Biswajeet Pradhan, Mohamed Barakat A. Gibril, Omid Ghorbanzadeh, Clement Atzberger, Mohamad Ali Khalil, Himanshu Mittal, Pedram Ghamisi:
An Integration of Deep Learning and Transfer Learning for Earthquake-Risk Assessment in the Eurasian Region. Remote. Sens. 15(15): 3759 (2023) - [j128]Seyd Teymoor Seydi, Mahdi Hasanlou, Jocelyn Chanussot, Pedram Ghamisi:
BDD-Net+: A Building Damage Detection Framework Based on Modified Coat-Net. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 4232-4247 (2023) - [j127]Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi:
Backdoor Attacks for Remote Sensing Data With Wavelet Transform. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j126]Puhong Duan, Xudong Kang, Pedram Ghamisi, Shutao Li:
Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection With an Isolation Forest-Guided Unsupervised Detector. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j125]Lihan Ouyang, Guangmiao Guo, Leyuan Fang, Pedram Ghamisi, Jun Yue:
PCLDet: Prototypical Contrastive Learning for Fine-Grained Object Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [j124]Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira, Pedram Ghamisi:
Learning Crop-Type Mapping From Regional Label Proportions in Large-Scale SAR and Optical Imagery. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j123]Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter:
Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks. IEEE Trans. Image Process. 32: 5737-5750 (2023) - [j122]Shizhen Chang, Pedram Ghamisi:
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. IEEE Trans. Image Process. 32: 6047-6060 (2023) - [j121]Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Zhihua Cai, Xiaobo Liu, Yao Ding:
Fully Linear Graph Convolutional Networks for Semi-Supervised and Unsupervised Classification. ACM Trans. Intell. Syst. Technol. 14(3): 40:1-40:23 (2023) - 2022
- [j120]Hao Li, Johannes Zech, Danfeng Hong, Pedram Ghamisi, Michael Schultz, Alexander Zipf:
Leveraging OpenStreetMap and Multimodal Remote Sensing Data with Joint Deep Learning for Wastewater Treatment Plants Detection. Int. J. Appl. Earth Obs. Geoinformation 110: 102804 (2022) - [j119]Yi Han, Ming Yin, Puhong Duan, Pedram Ghamisi:
Edge-Preserving Filtering-Based Dehazing for Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j118]Qingyun Li, Yushi Chen, Pedram Ghamisi:
Complementary Learning-Based Scene Classification of Remote Sensing Images With Noisy Labels. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j117]Behnood Rasti, Pedram Ghamisi, Richard Gloaguen:
OptFus: Optical Sensor Fusion for the Classification of Multisource Data: Application to Mineralogical Mapping. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j116]Sepideh Tavakkoli Piralilou, Golzar Einali, Omid Ghorbanzadeh, Thimmaiah Gudiyangada Nachappa, Khalil Gholamnia, Thomas Blaschke, Pedram Ghamisi:
A Google Earth Engine Approach for Wildfire Susceptibility Prediction Fusion with Remote Sensing Data of Different Spatial Resolutions. Remote. Sens. 14(3): 672 (2022) - [j115]Soodabeh Namdari, Ali Ibrahim Zghair Alnasrawi, Omid Ghorbanzadeh, Armin Sorooshian, Khalil Valizadeh Kamran, Pedram Ghamisi:
Time Series of Remote Sensing Data for Interaction Analysis of the Vegetation Coverage and Dust Activity in the Middle East. Remote. Sens. 14(13): 2963 (2022) - [j114]Lingbo Huang, Yushi Chen, Xin He, Pedram Ghamisi:
Supervised Contrastive Learning-Based Classification for Hyperspectral Image. Remote. Sens. 14(21): 5530 (2022) - [j113]Omid Ghorbanzadeh, Alessandro Crivellari, Dirk Tiede, Pedram Ghamisi, Stefan Lang:
Mapping Dwellings in IDP/Refugee Settlements Using Deep Learning. Remote. Sens. 14(24): 6382 (2022) - [j112]Bilal Aslam, Ahsen Maqsoom, Umer Khalil, Omid Ghorbanzadeh, Thomas Blaschke, Danish Farooq, Rana Faisal Tufail, Salman Ali Suhail, Pedram Ghamisi:
Evaluation of Different Landslide Susceptibility Models for a Local Scale in the Chitral District, Northern Pakistan. Sensors 22(9): 3107 (2022) - [j111]Kasra Rafiezadeh Shahi, Pedram Ghamisi, Behnood Rasti, Paul Scheunders, Richard Gloaguen:
Unsupervised Data Fusion With Deeper Perspective: A Novel Multisensor Deep Clustering Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 284-296 (2022) - [j110]Zijia Zhang, Yaoming Cai, Wenyin Gong, Pedram Ghamisi, Xiaobo Liu, Richard Gloaguen:
Hypergraph Convolutional Subspace Clustering With Multihop Aggregation for Hyperspectral Image. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 676-686 (2022) - [j109]Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Lilin Tu, Jiayi Li, Xin Huang, Caleb Robinson, Nikolay Malkin, Nebojsa Jojic, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track MSD: Multitemporal Semantic Change Detection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1643-1655 (2022) - [j108]Samiran Das, Sawon Pratiher, Chirag Kyal, Pedram Ghamisi:
Sparsity Regularized Deep Subspace Clustering for Multicriterion-Based Hyperspectral Band Selection. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 4264-4278 (2022) - [j107]Li Zhang, Yan Qian, Jingmin Han, Puhong Duan, Pedram Ghamisi:
Mixed Noise Removal for Hyperspectral Image With ${l_{0}}$-${l_{1 - 2}}$SSTV Regularization. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5371-5387 (2022) - [j106]Ziping He, Kewen Xia, Pedram Ghamisi, Yuhen Hu, Shurui Fan, Baokai Zu:
HyperViTGAN: Semisupervised Generative Adversarial Network With Transformer for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6053-6068 (2022) - [j105]Kasra Rafiezadeh Shahi, Pedram Ghamisi, Behnood Rasti, Richard Gloaguen, Paul Scheunders:
MS$^{2}$A-Net: Multiscale Spectral-Spatial Association Network for Hyperspectral Image Clustering. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 6518-6530 (2022) - [j104]Irem Ülkü, Erdem Akagündüz, Pedram Ghamisi:
Deep Semantic Segmentation of Trees Using Multispectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 7589-7604 (2022) - [j103]Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi:
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection From Multisource Satellite Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9927-9942 (2022) - [j102]Yaoming Cai, Zijia Zhang, Pedram Ghamisi, Yao Ding, Xiaobo Liu, Zhihua Cai, Richard Gloaguen:
Superpixel Contracted Neighborhood Contrastive Subspace Clustering Network for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j101]Shizhen Chang, Pedram Ghamisi:
Nonnegative-Constrained Joint Collaborative Representation With Union Dictionary for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j100]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j99]Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil:
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j98]Xin He, Yushi Chen, Pedram Ghamisi:
Dual Graph Convolutional Network for Hyperspectral Image Classification With Limited Training Samples. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j97]Xun Liu, Danfeng Hong, Jocelyn Chanussot, Baojun Zhao, Pedram Ghamisi:
Modality Translation in Remote Sensing Time Series. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j96]Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi:
NFANet: A Novel Method for Weakly Supervised Water Extraction From High-Resolution Remote-Sensing Imagery. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j95]Behnood Rasti, Bikram Koirala, Paul Scheunders, Pedram Ghamisi:
UnDIP: Hyperspectral Unmixing Using Deep Image Prior. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j94]Majid Seydgar, Shahryar Rahnamayan, Pedram Ghamisi, Azam Asilian Bidgoli:
Semisupervised Hyperspectral Image Classification Using a Probabilistic Pseudo-Label Generation Framework. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j93]Weiwei Song, Zhi Gao, Renwei Dian, Pedram Ghamisi, Yongjun Zhang, Jón Atli Benediktsson:
Asymmetric Hash Code Learning for Remote Sensing Image Retrieval. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j92]Weiquan Wang, Yushi Chen, Pedram Ghamisi:
Transferring CNN With Adaptive Learning for Remote Sensing Scene Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-18 (2022) - [j91]Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j90]Jun Yue, Leyuan Fang, Hossein Rahmani, Pedram Ghamisi:
Self-Supervised Learning With Adaptive Distillation for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j89]Jun Yue, Dingshun Zhu, Leyuan Fang, Pedram Ghamisi, Yaowei Wang:
Adaptive Spatial Pyramid Constraint for Hyperspectral Image Classification With Limited Training Samples. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j88]Ying Zhang, Puhong Duan, Jianxu Mao, Xudong Kang, Leyuan Fang, Pedram Ghamisi:
Contour Structural Profiles: An Edge-Aware Feature Extractor for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j87]Yonghao Xu, Pedram Ghamisi:
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes With Point-Level Annotations. IEEE Trans. Image Process. 31: 5038-5051 (2022) - [j86]Linshan Wu, Leyuan Fang, Jun Yue, Bob Zhang, Pedram Ghamisi, Min He:
Deep Bilateral Filtering Network for Point-Supervised Semantic Segmentation in Remote Sensing Images. IEEE Trans. Image Process. 31: 7419-7434 (2022) - [j85]Wei Tong, Xiaorong Guan, Jian Kang, Zhao-Hui Sun, Rob Law, Pedram Ghamisi, Edmond Qi Wu:
Normal Assisted Pixel-Visibility Learning With Cost Aggregation for Multiview Stereo. IEEE Trans. Intell. Transp. Syst. 23(12): 24686-24697 (2022) - 2021
- [j84]Mercedes Eugenia Paoletti, Juan Mario Haut, Pedram Ghamisi, Naoto Yokoya, Javier Plaza, Antonio Plaza:
U-IMG2DSM: Unpaired Simulation of Digital Surface Models With Generative Adversarial Networks. IEEE Geosci. Remote. Sens. Lett. 18(7): 1288-1292 (2021) - [j83]Hao Xie, Yushi Chen, Pedram Ghamisi:
Remote Sensing Image Scene Classification via Label Augmentation and Intra-Class Constraint. Remote. Sens. 13(13): 2566 (2021) - [j82]Hejar Shahabi, Maryam Rahimzad, Sepideh Tavakkoli Piralilou, Omid Ghorbanzadeh, Saeid Homayouni, Thomas Blaschke, Samsung Lim, Pedram Ghamisi:
Unsupervised Deep Learning for Landslide Detection from Multispectral Sentinel-2 Imagery. Remote. Sens. 13(22): 4698 (2021) - [j81]Caleb Robinson, Kolya Malkin, Nebojsa Jojic, Huijun Chen, Rongjun Qin, Changlin Xiao, Michael Schmitt, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3185-3199 (2021) - [j80]Pedram Ghamisi, Kasra Rafiezadeh Shahi, Puhong Duan, Behnood Rasti, Sandra Lorenz, René Booysen, Samuel T. Thiele, Isabel Cecilia Contreras Acosta, Moritz Kirsch, Richard Gloaguen:
The Potential of Machine Learning for a More Responsible Sourcing of Critical Raw Materials. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 8971-8988 (2021) - [j79]Yanbiao Ma, Yuxin Li, Kexin Feng, Yu Xia, Qi Huang, Hongyan Zhang, Colin Prieur, Giorgio Licciardi, Hana Malha, Jocelyn Chanussot, Pedram Ghamisi, Ronny Hänsch, Naoto Yokoya:
The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12375-12385 (2021) - [j78]Jie Xie, Nanjun He, Leyuan Fang, Pedram Ghamisi:
Multiscale Densely-Connected Fusion Networks for Hyperspectral Images Classification. IEEE Trans. Circuits Syst. Video Technol. 31(1): 246-259 (2021) - [j77]Renlong Hang, Feng Zhou, Qingshan Liu, Pedram Ghamisi:
Classification of Hyperspectral Images via Multitask Generative Adversarial Networks. IEEE Trans. Geosci. Remote. Sens. 59(2): 1424-1436 (2021) - [j76]Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya:
Hyperspectral Image Classification With Attention-Aided CNNs. IEEE Trans. Geosci. Remote. Sens. 59(3): 2281-2293 (2021) - [j75]Puhong Duan, Pedram Ghamisi, Xudong Kang, Behnood Rasti, Shutao Li, Richard Gloaguen:
Fusion of Dual Spatial Information for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(9): 7726-7738 (2021) - 2020
- [j74]Sina Ardabili, Amir Mosavi, Pedram Ghamisi, Filip Ferdinand, Annamária R. Várkonyi-Kóczy, Uwe Reuter, Timon Rabczuk, Peter M. Atkinson:
COVID-19 Outbreak Prediction with Machine Learning. Algorithms 13(10): 249 (2020) - [j73]Majid Dehghani, Somayeh Salehi, Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, Pedram Ghamisi:
Spatial Analysis of Seasonal Precipitation over Iran: Co-Variation with Climate Indices. ISPRS Int. J. Geo Inf. 9(2): 73 (2020) - [j72]Sancho Salcedo-Sanz, Pedram Ghamisi, María Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls:
Machine learning information fusion in Earth observation: A comprehensive review of methods, applications and data sources. Inf. Fusion 63: 256-272 (2020) - [j71]Behnood Rasti, Pedram Ghamisi:
Remote sensing image classification using subspace sensor fusion. Inf. Fusion 64: 121-130 (2020) - [j70]Behnood Rasti, Pedram Ghamisi, Jón Atli Benediktsson:
Hyperspectral Mixed Gaussian and Sparse Noise Reduction. IEEE Geosci. Remote. Sens. Lett. 17(3): 474-478 (2020) - [j69]Yun Lin, Shutao Li, Leyuan Fang, Pedram Ghamisi:
Multispectral Change Detection With Bilinear Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 17(10): 1757-1761 (2020) - [j68]Behnood Rasti, Bikram Koirala, Paul Scheunders, Pedram Ghamisi:
How Hyperspectral Image Unmixing and Denoising Can Boost Each Other. Remote. Sens. 12(11): 1728 (2020) - [j67]Hao Li, Pedram Ghamisi, Behnood Rasti, Zhaoyan Wu, Aurélie Shapiro, Michael Schultz, Alexander Zipf:
A Multi-Sensor Fusion Framework Based on Coupled Residual Convolutional Neural Networks. Remote. Sens. 12(12): 2067 (2020) - [j66]Kasra Rafiezadeh Shahi, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Raimon Tolosana-Delgado, Richard Gloaguen:
Hierarchical Sparse Subspace Clustering (HESSC): An Automatic Approach for Hyperspectral Image Analysis. Remote. Sens. 12(15): 2421 (2020) - [j65]Jian Kang, Rubén Fernández-Beltran, Zhen Ye, Xiaohua Tong, Pedram Ghamisi, Antonio Plaza:
High-Rankness Regularized Semi-Supervised Deep Metric Learning for Remote Sensing Imagery. Remote. Sens. 12(16): 2603 (2020) - [j64]Puhong Duan, Jibao Lai, Pedram Ghamisi, Xudong Kang, Robert Jackisch, Jian Kang, Richard Gloaguen:
Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping. Remote. Sens. 12(18): 2903 (2020) - [j63]Kasra Rafiezadeh Shahi, Pedram Ghamisi, Behnood Rasti, Robert Jackisch, Paul Scheunders, Richard Gloaguen:
Data Fusion Using a Multi-Sensor Sparse-Based Clustering Algorithm. Remote. Sens. 12(23): 4007 (2020) - [j62]Puhong Duan, Xudong Kang, Pedram Ghamisi, Yu Liu:
Multilevel Structure Extraction-Based Multi-Sensor Data Fusion. Remote. Sens. 12(24): 4034 (2020) - [j61]Behnood Rasti, Pedram Ghamisi, Peter Seidel, Sandra Lorenz, Richard Gloaguen:
Multiple Optical Sensor Fusion for Mineral Mapping of Core Samples. Sensors 20(13): 3766 (2020) - [j60]Mohammad Moein Sheikholeslami, Saeed Nadi, Amin Alizadeh Naeini, Pedram Ghamisi:
An Efficient Deep Unsupervised Superresolution Model for Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 1937-1945 (2020) - [j59]Mohammadreza Sheykhmousa, Masoud MahdianPari, Hamid Ghanbari, Fariba Mohammadimanesh, Pedram Ghamisi, Saeid Homayouni:
Support Vector Machine Versus Random Forest for Remote Sensing Image Classification: A Meta-Analysis and Systematic Review. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 6308-6325 (2020) - [j58]Puhong Duan, Xudong Kang, Shutao Li, Pedram Ghamisi:
Multichannel Pulse-Coupled Neural Network-Based Hyperspectral Image Visualization. IEEE Trans. Geosci. Remote. Sens. 58(4): 2444-2456 (2020) - [j57]Xin He, Yushi Chen, Pedram Ghamisi:
Heterogeneous Transfer Learning for Hyperspectral Image Classification Based on Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 58(5): 3246-3263 (2020) - [j56]Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu:
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 58(6): 3791-3808 (2020) - [j55]Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu:
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. IEEE Trans. Geosci. Remote. Sens. 58(7): 4939-4950 (2020) - [j54]Jian Kang, Rubén Fernández-Beltran, Zhen Ye, Xiaohua Tong, Pedram Ghamisi, Antonio Plaza:
Deep Metric Learning Based on Scalable Neighborhood Components for Remote Sensing Scene Characterization. IEEE Trans. Geosci. Remote. Sens. 58(12): 8905-8918 (2020) - 2019
- [j53]Guangzhe Zhao, Guangyun Liu, Leyuan Fang, Bing Tu, Pedram Ghamisi:
Multiple convolutional layers fusion framework for hyperspectral image classification. Neurocomputing 339: 149-160 (2019) - [j52]Xin He, Aili Wang, Pedram Ghamisi, Guoyu Li, Yushi Chen:
LiDAR Data Classification Using Spatial Transformation and CNN. IEEE Geosci. Remote. Sens. Lett. 16(1): 125-129 (2019) - [j51]Pedram Ghamisi, Behnood Rasti, Jón Atli Benediktsson:
Multisensor Composite Kernels Based on Extreme Learning Machines. IEEE Geosci. Remote. Sens. Lett. 16(2): 196-200 (2019) - [j50]Behnood Rasti, Pedram Ghamisi, Magnus O. Ulfarsson:
Hyperspectral Feature Extraction Using Sparse and Smooth Low-Rank Analysis. Remote. Sens. 11(2): 121 (2019) - [j49]Kaiqiang Zhu, Yushi Chen, Pedram Ghamisi, Xiuping Jia, Jón Atli Benediktsson:
Deep Convolutional Capsule Network for Hyperspectral Image Spectral and Spectral-Spatial Classification. Remote. Sens. 11(3): 223 (2019) - [j48]Bing Tu, Nanying Li, Leyuan Fang, Danbing He, Pedram Ghamisi:
Hyperspectral Image Classification with Multi-Scale Feature Extraction. Remote. Sens. 11(5): 534 (2019) - [j47]Sandra Lorenz, Peter Seidel, Pedram Ghamisi, Robert Zimmermann, Laura Tusa, Mahdi Khodadadzadeh, I. Cecilia Contreras, Richard Gloaguen:
Multi-Sensor Spectral Imaging of Geological Samples: A Data Fusion Approach Using Spatio-Spectral Feature Extraction. Sensors 19(12): 2787 (2019) - [j46]Yushi Chen, Ying Wang, Yanfeng Gu, Xin He, Pedram Ghamisi, Xiuping Jia:
Deep Learning Ensemble for Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(6): 1882-1897 (2019) - [j45]Puhong Duan, Xudong Kang, Shutao Li, Pedram Ghamisi:
Noise-Robust Hyperspectral Image Classification via Multi-Scale Total Variation. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(6): 1948-1962 (2019) - [j44]Isabel Cecilia Contreras Acosta, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Richard Gloaguen:
A Machine Learning Framework for Drill-Core Mineral Mapping Using Hyperspectral and High-Resolution Mineralogical Data Fusion. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 12(12): 4829-4842 (2019) - [j43]Leyuan Fang, Guangyun Liu, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Hyperspectral Image Classification With Squeeze Multibias Network. IEEE Trans. Geosci. Remote. Sens. 57(3): 1291-1301 (2019) - [j42]Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi:
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(8): 5384-5394 (2019) - [j41]Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson:
Deep Learning for Hyperspectral Image Classification: An Overview. IEEE Trans. Geosci. Remote. Sens. 57(9): 6690-6709 (2019) - [j40]Yushi Chen, Kaiqiang Zhu, Lin Zhu, Xin He, Pedram Ghamisi, Jón Atli Benediktsson:
Automatic Design of Convolutional Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(9): 7048-7066 (2019) - [j39]Guichen Zhang, Pedram Ghamisi, Xiao Xiang Zhu:
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones. IEEE Trans. Geosci. Remote. Sens. 57(10): 7623-7642 (2019) - [j38]Puhong Duan, Xudong Kang, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Fusion of Multiple Edge-Preserving Operations for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 57(12): 10336-10349 (2019) - 2018
- [j37]Jingliang Hu, Pedram Ghamisi, Xiao Xiang Zhu:
Feature Extraction and Selection of Sentinel-1 Dual-Pol Data for Global-Scale Local Climate Zone Classification. ISPRS Int. J. Geo Inf. 7(9): 379 (2018) - [j36]Aili Wang, Xin He, Pedram Ghamisi, Yushi Chen:
LiDAR Data Classification Using Morphological Profiles and Convolutional Neural Networks. IEEE Geosci. Remote. Sens. Lett. 15(5): 774-778 (2018) - [j35]Pedram Ghamisi, Naoto Yokoya:
IMG2DSM: Height Simulation From Single Imagery Using Conditional Generative Adversarial Net. IEEE Geosci. Remote. Sens. Lett. 15(5): 794-798 (2018) - [j34]Jian Zhu, Leyuan Fang, Pedram Ghamisi:
Deformable Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 15(8): 1254-1258 (2018) - [j33]Behnood Rasti, Paul Scheunders, Pedram Ghamisi, Giorgio Licciardi, Jocelyn Chanussot:
Noise Reduction in Hyperspectral Imagery: Overview and Application. Remote. Sens. 10(3): 482 (2018) - [j32]Chunping Qiu, Michael Schmitt, Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Feature Importance Analysis for Local Climate Zone Classification Using a Residual Convolutional Neural Network with Multi-Source Datasets. Remote. Sens. 10(10): 1572 (2018) - [j31]Hao Li, Pedram Ghamisi, Uwe Soergel, Xiao Xiang Zhu:
Hyperspectral and LiDAR Fusion Using Deep Three-Stream Convolutional Neural Networks. Remote. Sens. 10(10): 1649 (2018) - [j30]Xin Wu, Danfeng Hong, Pedram Ghamisi, Wei Li, Ran Tao:
MsRi-CCF: Multi-Scale and Rotation-Insensitive Convolutional Channel Features for Geospatial Object Detection. Remote. Sens. 10(12): 1990 (2018) - [j29]Naoto Yokoya, Pedram Ghamisi, Junshi Xia, Sergey Sukhanov, Roel Heremans, Ivan Tankoyeu, Benjamin Bechtel, Bertrand Le Saux, Gabriele Moser, Devis Tuia:
Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(5): 1363-1377 (2018) - [j28]Hamid Ghanbari, Saeid Homayouni, Pedram Ghamisi, Abdolreza Safari:
Radiometric Normalization of Multitemporal and Multisensor Remote Sensing Images Based on a Gaussian Mixture Model and Error Ellipse. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 11(11): 4526-4533 (2018) - [j27]Junshi Xia, Pedram Ghamisi, Naoto Yokoya, Akira Iwasaki:
Random Forest Ensembles and Extended Multiextinction Profiles for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 202-216 (2018) - [j26]Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Unsupervised Spectral-Spatial Feature Learning via Deep Residual Conv-Deconv Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(1): 391-406 (2018) - [j25]Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Corrections to "Deep Recurrent Neural Networks for Hyperspectral Image Classification". IEEE Trans. Geosci. Remote. Sens. 56(2): 1214-1215 (2018) - [j24]Leyuan Fang, Nanjun He, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Extinction Profiles Fusion for Hyperspectral Images Classification. IEEE Trans. Geosci. Remote. Sens. 56(3): 1803-1815 (2018) - [j23]Lin Zhu, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson:
Generative Adversarial Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 56(9): 5046-5063 (2018) - 2017
- [j22]Pedram Ghamisi, Bernhard Höfle:
LiDAR Data Classification Using Extinction Profiles and a Composite Kernel Support Vector Machine. IEEE Geosci. Remote. Sens. Lett. 14(5): 659-663 (2017) - [j21]Yushi Chen, Chunyang Li, Pedram Ghamisi, Xiuping Jia, Yanfeng Gu:
Deep Fusion of Remote Sensing Data for Accurate Classification. IEEE Geosci. Remote. Sens. Lett. 14(8): 1253-1257 (2017) - [j20]Behnood Rasti, Magnus Orn Ulfarsson, Pedram Ghamisi:
Automatic Hyperspectral Image Restoration Using Sparse and Low-Rank Modeling. IEEE Geosci. Remote. Sens. Lett. 14(12): 2335-2339 (2017) - [j19]Yushi Chen, Lin Zhu, Pedram Ghamisi, Xiuping Jia, Guoyu Li, Liang Tang:
Hyperspectral Images Classification With Gabor Filtering and Convolutional Neural Network. IEEE Geosci. Remote. Sens. Lett. 14(12): 2355-2359 (2017) - [j18]Pedram Ghamisi, Bernhard Höfle, Xiao Xiang Zhu:
Hyperspectral and LiDAR Data Fusion Using Extinction Profiles and Deep Convolutional Neural Network. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(6): 3011-3024 (2017) - [j17]Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Deep Recurrent Neural Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(7): 3639-3655 (2017) - [j16]Behnood Rasti, Pedram Ghamisi, Richard Gloaguen:
Hyperspectral and LiDAR Fusion Using Extinction Profiles and Total Variation Component Analysis. IEEE Trans. Geosci. Remote. Sens. 55(7): 3997-4007 (2017) - [j15]Behnood Rasti, Pedram Ghamisi, Javier Plaza, Antonio Plaza:
Fusion of Hyperspectral and LiDAR Data Using Sparse and Low-Rank Component Analysis. IEEE Trans. Geosci. Remote. Sens. 55(11): 6354-6365 (2017) - 2016
- [j14]Pedram Ghamisi, Yushi Chen, Xiao Xiang Zhu:
A Self-Improving Convolution Neural Network for the Classification of Hyperspectral Data. IEEE Geosci. Remote. Sens. Lett. 13(10): 1537-1541 (2016) - [j13]Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Letícia Rittner, Roberto de Alencar Lotufo, Xiao Xiang Zhu:
Hyperspectral Data Classification Using Extended Extinction Profiles. IEEE Geosci. Remote. Sens. Lett. 13(11): 1641-1645 (2016) - [j12]Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo:
Extinction Profiles for the Classification of Remote Sensing Data. IEEE Trans. Geosci. Remote. Sens. 54(10): 5631-5645 (2016) - [j11]Yushi Chen, Hanlu Jiang, Chunyang Li, Xiuping Jia, Pedram Ghamisi:
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks. IEEE Trans. Geosci. Remote. Sens. 54(10): 6232-6251 (2016) - 2015
- [j10]Pedram Ghamisi, Jón Atli Benediktsson:
Feature Selection Based on Hybridization of Genetic Algorithm and Particle Swarm Optimization. IEEE Geosci. Remote. Sens. Lett. 12(2): 309-313 (2015) - [j9]Pedram Ghamisi, Abder-Rahman Ali, Micael S. Couceiro, Jón Atli Benediktsson:
A Novel Evolutionary Swarm Fuzzy Clustering Approach for Hyperspectral Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(6): 2447-2456 (2015) - [j8]Pedram Ghamisi, Mauro Dalla Mura, Jón Atli Benediktsson:
A Survey on Spectral-Spatial Classification Techniques Based on Attribute Profiles. IEEE Trans. Geosci. Remote. Sens. 53(5): 2335-2353 (2015) - [j7]Pedram Ghamisi, Micael S. Couceiro, Jón Atli Benediktsson:
A Novel Feature Selection Approach Based on FODPSO and SVM. IEEE Trans. Geosci. Remote. Sens. 53(5): 2935-2947 (2015) - 2014
- [j6]Pedram Ghamisi, Micael S. Couceiro, Mathieu Fauvel, Jón Atli Benediktsson:
Integration of Segmentation Techniques for Classification of Hyperspectral Images. IEEE Geosci. Remote. Sens. Lett. 11(1): 342-346 (2014) - [j5]Pedram Ghamisi, Jón Atli Benediktsson, Gabriele Cavallaro, Antonio Plaza:
Automatic Framework for Spectral-Spatial Classification Based on Supervised Feature Extraction and Morphological Attribute Profiles. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 7(6): 2147-2160 (2014) - [j4]Pedram Ghamisi, Micael S. Couceiro, Fernando Manuel Lourenço Martins, Jón Atli Benediktsson:
Multilevel Image Segmentation Based on Fractional-Order Darwinian Particle Swarm Optimization. IEEE Trans. Geosci. Remote. Sens. 52(5): 2382-2394 (2014) - [j3]Pedram Ghamisi, Jón Atli Benediktsson, Magnus O. Ulfarsson:
Spectral-Spatial Classification of Hyperspectral Images Based on Hidden Markov Random Fields. IEEE Trans. Geosci. Remote. Sens. 52(5): 2565-2574 (2014) - [j2]Pedram Ghamisi, Jón Atli Benediktsson, Johannes R. Sveinsson:
Automatic Spectral-Spatial Classification Framework Based on Attribute Profiles and Supervised Feature Extraction. IEEE Trans. Geosci. Remote. Sens. 52(9): 5771-5782 (2014) - 2012
- [j1]Pedram Ghamisi, Micael S. Couceiro, Jón Atli Benediktsson, Nuno M. F. Ferreira:
An efficient method for segmentation of images based on fractional calculus and natural selection. Expert Syst. Appl. 39(16): 12407-12417 (2012)
Conference and Workshop Papers
- 2024
- [c64]Weikang Yu, Samiran Das, Aldino Rizaldy, Xiaokang Zhang, Richard Gloaguen, Pedram Ghamisi:
MineNet-CD: Global Mining Change Detection Dataset. IGARSS 2024: 905-908 - [c63]Aldino Rizaldy, Ahmed J. Afifi, Pedram Ghamisi, Richard Gloaguen:
Dimensional Dilemma: Navigating the Fusion of Hyperspectral and Lidar Point Cloud Data for Optimal Precision - 2D vs. 3D. IGARSS 2024: 7729-7733 - [c62]Richard Gloaguen, Aldino Rizaldy, Ahmed J. Afifi, Sandra Lorenz, Samuel T. Thiele, Moritz Kirsch, Pedram Ghamisi:
Towards 3D Hyperspectral Imaging. IGARSS 2024: 8573-8576 - [c61]Ali Jamali, Swalpa Kumar Roy, Bing Lu, Avik Bhattacharya, Pedram Ghamisi:
PolSARConvMixer: A Channel and Spatial Mixing Convolutional Algorithm for PolSAR Data Classification. IGARSS 2024: 11248-11251 - 2023
- [c60]Itza Hernandez-Sequeira, Rubén Fernández-Beltran, Yonghao Xu, Pedram Ghamisi, Filiberto Pla:
Semi-supervised Classification for Remote Sensing Datasets. ICIAP (1) 2023: 463-474 - [c59]Behnood Rasti, Aayush Jain, Margret C. Fuchs, Pedram Ghamisi, Richard Gloaguen:
Hyperspectral Domain Adaptation for the Detection of Material Types in Recycling Streams at the Example of Electrolyzers. IGARSS 2023: 7618-7620 - [c58]Elias Arbash, Andréa de Lima Ribeiro, Samuel T. Thiele, Nina Gnann, Behnood Rasti, Margret Fuchs, Pedram Ghamisi, Richard Gloaguen:
Masking Hyperspectral Imaging Data with Pretrained Models. WHISPERS 2023: 1-5 - [c57]Samiran Das, Pedram Ghamisi, Richard Gloaguen:
Open Geology Database (OGD): An Integrated Platform for Geological, Mining, and Seismic Datasets for Open Research. WHISPERS 2023: 1-5 - [c56]Md Omar Faruk, Behnood Rasti, Margret C. Fuchs, Richard Gloaguen, Pedram Ghamisi:
Deep Learning-Based Architectures For Multimodal Instance Segmentation. WHISPERS 2023: 1-5 - [c55]Bikram Koirala, Samiran Das, Behnood Rasti, Pedram Ghamisi, Richard Gloaguen, Paul Scheunders:
Acritical Comparison of Linear and Nonlinear Unmixing for Intimate Mixtures. WHISPERS 2023: 1-5 - [c54]Aldino Rizaldy, Ahmed J. Afifi, Pedram Ghamisi, Richard Gloaguen:
Transformer-Based Models for Hyperspectral Point Clouds Segmentation. WHISPERS 2023: 1-5 - 2022
- [c53]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
A Deep Feature Retrieved Network for Bitemporal Remote Sensing Image Change Detection. CDCEO@IJCAI 2022: 7-13 - [c52]Yonghao Xu, Weikang Yu, Pedram Ghamisi:
Task-Guided Denoising Network for Adversarial Defense of Remote Sensing Scene Classification. CDCEO@IJCAI 2022: 73-78 - [c51]Laura Elena Cué La Rosa, Dário Augusto Borges Oliveira, Samuel T. Thiele, Pedram Ghamisi, Richard Gloaguen:
Weak-Supervision Based on Label Proportions for Earth Observation Applications from Optical and Hyperspectral Imagery. CDCEO@IJCAI 2022: 79-85 - [c50]Pedram Ghamisi, Omid Ghorbanzadeh, Yonghao Xu, Pedro Herruzo, David P. Kreil, Michael Kopp, Sepp Hochreiter:
The Landslide4Sense Competition 2022. CDCEO@IJCAI 2022: 91 - [c49]Kasra Rafiezadeh Shahi, Pedram Ghamisi, Behnood Rasti, Paul Scheunders, Richard Gloaguen:
Hyperspectral Clustering Using Atrous Spatial-Spectral Convolutional Network. IGARSS 2022: 199-202 - [c48]Behnood Rasti, Pedram Ghamisi, Richard Gloaguen:
Unsupervised Deep Hyperspectral Inpainting Using a New Mixing Model. IGARSS 2022: 1221-1224 - [c47]Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch:
EOD: The IEEE GRSS Earth Observation Database. IGARSS 2022: 5365-5368 - [c46]Seema Chouhan, Behnood Rasti, Pedram Ghamisi, Sandra Lorenz, Margret C. Fuchs, Richard Gloaguen:
Hyperspectral Unmixing Using Convolutional Autoencoder For Metal Detection In Lithium-Ion Battery Recycling Applications. WHISPERS 2022: 1-5 - [c45]Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit:
Hyde: The First Open-Source, Python-Based, Gpu-Accelerated Hyperspectral Denoising Package. WHISPERS 2022: 1-5 - 2021
- [c44]Shizhen Chang, Pedram Ghamisi:
Hyperspectral Anomaly Detection based on Low-rank Structure Exploration. CIKM Workshops 2021 - [c43]Aleksandra Gruca, Pedro Herruzo, Pilar Rípodas, Andrzej Kucik, Christian Briese, Michael K. Kopp, Sepp Hochreiter, Pedram Ghamisi, David P. Kreil:
CDCEO'21 - First Workshop on Complex Data Challenges in Earth Observation. CIKM 2021: 4878-4879 - [c42]Behnood Rasti, Pedram Ghamisi:
Hyperspectral Denoising: From Conventional Techniques Towards Deep Learning Ones. CIKM Workshops 2021 - [c41]Yonghao Xu, Pedram Ghamisi:
Region-Growing Fully Convolutional Networks for Hyperspectral Image Classification with Point-Level Supervision. CIKM Workshops 2021 - [c40]Kasra Rafiezadeh Shahi, Behnood Rasti, Pedram Ghamisi, Paul Scheunders, Richard Gloaguen:
When is the Right Time to Apply Denoising? IGARSS 2021: 2464-2467 - [c39]Behnood Rasti, Bikram Koirala, Paul Scheunders, Pedram Ghamisi, Richard Gloaguen:
Boosting Hyperspectral Image Unmixing Using Denoising: Four Scenarios. IGARSS 2021: 3821-3824 - [c38]Behnood Rasti, Bikram Koirala, Paul Scheunders, Pedram Ghamisi:
Spectral Unmixing Using Deep Convolutional Encoder-Decoder. IGARSS 2021: 3829-3832 - [c37]Kasra Rafiezadeh Shahi, Pedram Ghamisi, Robert Jackisch, Behnood Rasti, Paul Scheunders, Richard Gloaguen:
A Multi-Sensor Subspace-Based Clustering Algorithm Using RGB and Hyperspectral Data. WHISPERS 2021: 1-5 - 2020
- [c36]Behnood Rasti, Pedram Ghamisi, Richard Gloaguen:
Fusion of Multispectral LiDAR and Hyperspectral Imagery. IGARSS 2020: 2659-2662 - [c35]Pedram Ghamisi, Hao Li, Robert Jackisch, Behnood Rasti, Richard Gloaguen:
Remote Sensing and Deep Learning for Sustainable Mining. IGARSS 2020: 3739-3742 - [c34]Richard Gloaguen, Moritz Kirsch, Sandra Lorenz, René Booysen, Robert Zimmermann, Pedram Ghamisi, Behnood Rasti:
Towards 4D Virtual Outcrops with Hyperspectral Imaging. IGARSS 2020: 4035-4036 - [c33]Puhong Duan, Pedram Ghamisi, Robert Jackisch, Xudong Kang, Richard Gloaguen, Shutao Li:
Intrinsic Image Decomposition-Based Resolution Enhancement for Mineral Mapping. IGARSS 2020: 4112-4115 - [c32]Puhong Duan, Jian Kang, Xudong Kang, Pedram Ghamisi, Shutao Li:
Sun Glint Removal of Hyperspectral Images via Texture-Aware Total Variation. IGARSS 2020: 7005-7008 - 2019
- [c31]Peter Seidel, Markus Reuter, Stefan König, Sandra Lorenz, Vishnu Sudharshan, Junaidh Fareedh, Robert Zimmermann, Pedram Ghamisi, Peter Kaever, Richard Gloaguen:
An Integrated Multi-Sensor System for the In-Line Monitoring of Material Streams. IEEE SENSORS 2019: 1-3 - [c30]Xin Wu, Danfeng Hong, Pedram Ghamisi, Wei Li, Ran Tao:
LW-ODF: A Light-Weight Object Detection Framework for Optical Remote Sensing Imagery. IGARSS 2019: 1462-1465 - [c29]Pedram Ghamisi, Behnood Rasti, Richard Gloaguen:
A Novel Composite Kernel Approach for Multisensor Remote Sensing Data Fusion. IGARSS 2019: 2507-2510 - [c28]Cecilia Contreras, Mahdi Khodadadzadeh, Pedram Ghamisi, Richard Gloaguen:
Mineral Mapping of Drill Core Hyperspectral Data with Extreme Learning Machines. IGARSS 2019: 2686-2689 - [c27]Behnood Rasti, Pedram Ghamisi, Richard Gloaguen:
Multisensor Feature Fusion Using Low-Rank Modeling and Component Analysis. IGARSS 2019: 4811-4814 - [c26]Richard Gloaguen, Margret C. Fuchs, Mahdi Khodadadzadeh, Pedram Ghamisi, Moritz Kirsch, René Booysen, Robert Zimmermann, Sandra Lorenz:
Multi-Source and multi-Scale Imaging-Data Integration to boost Mineral Mapping. IGARSS 2019: 5587-5589 - [c25]Behnood Rasti, Pedram Ghamisi, Jocelyn Chanussot:
Mixed Noise Reduction in Hyperspectral Imagery. WHISPERS 2019: 1-4 - 2018
- [c24]Chunping Qiu, Michael Schmitt, Pedram Ghamisi, Lichao Mou, Xiao Xiang Zhu:
Feature Importance Analysis of Sentinel-2 Imagery for Large-Scale Urban Local Climate Zone Classification. IGARSS 2018: 4681-4684 - [c23]Behnood Rasti, Magnus O. Ulfarsson, Pedram Ghamisi:
Sparse and Smooth Feature Extraction for Hyperspectral Imagery. IGARSS 2018: 4760-4763 - [c22]Mahdi Khodadadzadeh, Pedram Ghamisi, Cecilia Contreras, Richard Gloaguen:
Subspace Multinomial Logistic Regression Ensemble for Classification of Hyperspectral Images. IGARSS 2018: 5740-5743 - [c21]Richard Gloaguen, Pedram Ghamisi, Sandra Lorenz, Moritz Kirsch, Robert Zimmermann, René Booysen, Louis Andreani, Robert Jackisch, Erik Hermann, Laura Tusa, Gabriel Unger, Cecilia Contreras, Mahdi Khodadadzadeh, Margret C. Fuchs:
The Need for Multi-Source, Multi-Scale Hyperspectral Imaging to Boost Non-Invasive Mineral Exploration. IGARSS 2018: 7430-7433 - [c20]Cecilia Contreras, Mahdi Khodadadzadeh, Laura Tusa, Pedram Ghamisi, Richard Gloaguen:
A Machine Learning Technique for Drill Core Hyperspectral Data Analysis. WHISPERS 2018: 1-5 - 2017
- [c19]Naoto Yokoya, Pedram Ghamisi, Junshi Xia:
Multimodal, multitemporal, and multisource global data fusion for local climate zones classification based on ensemble learning. IGARSS 2017: 1197-1200 - [c18]Peijun Du, Junshi Xia, Pedram Ghamisi, Akira Iwasaki, Jón Atli Benediktsson:
Multiple composite kernel learning for hyperspectral image classification. IGARSS 2017: 2223-2226 - [c17]Nanjun He, Leyuan Fang, Shutao Li, Pedram Ghamisi, Jón Atli Benediktsson:
Hyperspectral images classification by fusing extinction profiles feature. IGARSS 2017: 2267-2270 - [c16]Pedram Ghamisi, Behnood Rasti, Xiao Xiang Zhu:
Feature fusion of hyperspectral and lidar data using extinction profiles and total variation. IGARSS 2017: 2621-2624 - [c15]Jingliang Hu, Yuanyuan Wang, Pedram Ghamisi, Xiao Xiang Zhu:
Evaluation of polsar similarity measures with spectral clustering. IGARSS 2017: 3254-3257 - [c14]Lichao Mou, Pedram Ghamisi, Xiao Xiang Zhu:
Fully conv-deconv network for unsupervised spectral-spatial feature extraction of hyperspectral imagery via residual learning. IGARSS 2017: 5181-5184 - 2016
- [c13]Yushi Chen, Chunyang Li, Pedram Ghamisi, Chunyu Shi, Yanfeng Gu:
Deep fusion of hyperspectral and LiDAR data for thematic classification. IGARSS 2016: 3591-3594 - [c12]Pedram Ghamisi, Roberto Souza, Letícia Rittner, Jón Atli Benediktsson, Roberto de Alencar Lotufo, Xiao Xiang Zhu:
Extinction profiles: A novel approach for the analysis of remote sensing data. IGARSS 2016: 5122-5125 - [c11]Pedram Ghamisi, Roberto Souza, Jón Atli Benediktsson, Xiao Xiang Zhu, Letícia Rittner, Roberto de Alencar Lotufo:
Extended extinction profile for the classification of hyperspectral images. WHISPERS 2016: 1-4 - [c10]Jingliang Hu, Pedram Ghamisi, Andreas Schmitt, Xiao Xiang Zhu:
Object based fusion of polarimetric SAR and hyperspectral imaging for land use classification. WHISPERS 2016: 1-5 - [c9]Naoto Yokoya, Pedram Ghamisi:
Land-cover monitoring using time-series hyperspectral data via fractional-order darwinian particle swarm optimization segmentation. WHISPERS 2016: 1-5 - 2015
- [c8]Pedram Ghamisi, Dan Wu, Gabriele Cavallaro, Jón Atli Benediktsson, Stuart R. Phinn, Nicola Falco:
An advanced classifier for the joint use of LiDAR and hyperspectral data: Case study in Queensland, Australia. IGARSS 2015: 2354-2357 - 2014
- [c7]Pedram Ghamisi, Jón Atli Benediktsson, Stuart R. Phinn:
Fusion of hyperspectral and LiDAR data in classification of urban areas. IGARSS 2014: 181-184 - [c6]Pedram Ghamisi, Micael S. Couceiro, Jón Atli Benediktsson:
FODSPO based feature selection for hyperspectral remote sensing data. WHISPERS 2014: 1-4 - 2013
- [c5]Pedram Ghamisi, Jón Atli Benediktsson, Magnus O. Ulfarsson:
The spectral-spatial classification of hyperspectral images based on Hidden Markov Random Field and its Expectation-Maximization. IGARSS 2013: 1107-1110 - [c4]Pedram Ghamisi, Micael S. Couceiro, Mathieu Fauvel, Jón Atli Benediktsson:
Spectral-spatial classification based on integrated segmentation. IGARSS 2013: 1458-1461 - 2012
- [c3]Pedram Ghamisi, Lalit Kumar:
A novel adaptive compression method for hyperspectral images by using EDT and particle swarm optimization. Digital Photography 2012: 82990M - [c2]Pedram Ghamisi, Micael S. Couceiro, Nuno M. F. Ferreira, Lalit Kumar:
Use of Darwinian Particle Swarm Optimization technique for the segmentation of Remote Sensing images. IGARSS 2012: 4295-4298 - 2011
- [c1]Pedram Ghamisi, Farshid Sepehrband, Jayran Choupan, Mohammad Mortazavi:
Binary Hybrid GA-PSO based algorithm for compression of hyperspectral data. ICSPCS 2011: 1-8
Editorship
- 2022
- [e1]Aleksandra Gruca, Caleb Robinson, Naoto Yokoya, Jun Zhou, Pedram Ghamisi:
Proceedings of the Second Workshop on Complex Data Challenges in Earth Observation (CDCEO 2022) co-located with 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI 2022), Vienna, Austria, July 25th, 2022. CEUR Workshop Proceedings 3207, CEUR-WS.org 2022 [contents]
Informal and Other Publications
- 2024
- [i50]Elias Arbash, Margret C. Fuchs, Behnood Rasti, Sandra Lorenz, Pedram Ghamisi, Richard Gloaguen:
PCB-Vision: A Multiscene RGB-Hyperspectral Benchmark Dataset of Printed Circuit Boards. CoRR abs/2401.06528 (2024) - [i49]Yidan Liu, Jun Yue, Shaobo Xia, Pedram Ghamisi, Weiying Xie, Leyuan Fang:
Diffusion Models Meet Remote Sensing: Principles, Methods, and Perspectives. CoRR abs/2404.08926 (2024) - [i48]Weikang Yu, Xiaokang Zhang, Samiran Das, Xiaoxiang Zhu, Pedram Ghamisi:
MaskCD: A Remote Sensing Change Detection Network Based on Mask Classification. CoRR abs/2404.12081 (2024) - [i47]Yonghao Xu, Pedram Ghamisi, Yannis Avrithis:
Multi-Target Unsupervised Domain Adaptation for Semantic Segmentation without External Data. CoRR abs/2405.06502 (2024) - [i46]Pedram Ghamisi, Weikang Yu, Andrea Marinoni, Caroline M. Gevaert, Claudio Persello, Sivasakthy Selvakumaran, Manuela Girotto, Benjamin P. Horton, Philippe Rufin, Patrick Hostert, Fabio Pacifici, Peter M. Atkinson:
Responsible AI for Earth Observation. CoRR abs/2405.20868 (2024) - [i45]Hang Fu, Genyun Sun, Yinhe Li, Jinchang Ren, Aizhu Zhang, Cheng Jing, Pedram Ghamisi:
HDMba: Hyperspectral Remote Sensing Imagery Dehazing with State Space Model. CoRR abs/2406.05700 (2024) - [i44]Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Bing Lu, Pedram Ghamisi:
How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification. CoRR abs/2406.15719 (2024) - [i43]Weikang Yu, Xiaokang Zhang, Xiaoxiang Zhu, Richard Gloaguen, Pedram Ghamisi:
MineNetCD: A Benchmark for Global Mining Change Detection on Remote Sensing Imagery. CoRR abs/2407.03971 (2024) - 2023
- [i42]Shizhen Chang, Pedram Ghamisi:
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning. CoRR abs/2304.01091 (2023) - [i41]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
Dsfer-Net: A Deep Supervision and Feature Retrieval Network for Bitemporal Change Detection Using Modern Hopfield Networks. CoRR abs/2304.01101 (2023) - [i40]Ahmed J. Afifi, Samuel T. Thiele, Sandra Lorenz, Pedram Ghamisi, Raimon Tolosana-Delgado, Moritz Kirsch, Richard Gloaguen, Michael Heizmann:
Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud Segmentation in the Geosciences. CoRR abs/2305.09928 (2023) - [i39]Ali Jamali, Swalpa Kumar Roy, Jonathan Li, Pedram Ghamisi:
Neighborhood Attention Makes the Encoder of ResUNet Stronger for Accurate Road Extraction. CoRR abs/2306.04947 (2023) - [i38]Weikang Yu, Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Defense in Remote Sensing Based on Pre-trained Denoising Diffusion Models. CoRR abs/2307.16865 (2023) - [i37]Ali Jamali, Swalpa Kumar Roy, Danfeng Hong, Peter M. Atkinson, Pedram Ghamisi:
Spatial Gated Multi-Layer Perceptron for Land Use and Land Cover Mapping. CoRR abs/2308.05235 (2023) - [i36]Yuduo Wang, Pedram Ghamisi:
RSAdapter: Adapting Multimodal Models for Remote Sensing Visual Question Answering. CoRR abs/2310.13120 (2023) - [i35]Elias Arbash, Andréa de Lima Ribeiro, Samuel T. Thiele, Nina Gnann, Behnood Rasti, Margret C. Fuchs, Pedram Ghamisi, Richard Gloaguen:
Masking Hyperspectral Imaging Data with Pretrained Models. CoRR abs/2311.03053 (2023) - [i34]Danfeng Hong, Bing Zhang, Xuyang Li, Yuxuan Li, Chenyu Li, Jing Yao, Naoto Yokoya, Hao Li, Pedram Ghamisi, Xiuping Jia, Antonio Plaza, Paolo Gamba, Jón Atli Benediktsson, Jocelyn Chanussot:
SpectralGPT: Spectral Foundation Model. CoRR abs/2311.07113 (2023) - 2022
- [i33]Ming Lu, Leyuan Fang, Muxing Li, Bob Zhang, Yi Zhang, Pedram Ghamisi:
NFANet: A Novel Method for Weakly Supervised Water Extraction from High-Resolution Remote Sensing Imagery. CoRR abs/2201.03686 (2022) - [i32]Weiwei Song, Zhi Gao, Renwei Dian, Pedram Ghamisi, Yongjun Zhang, Jón Atli Benediktsson:
Asymmetric Hash Code Learning for Remote Sensing Image Retrieval. CoRR abs/2201.05772 (2022) - [i31]Yonghao Xu, Pedram Ghamisi:
Consistency-Regularized Region-Growing Network for Semantic Segmentation of Urban Scenes with Point-Level Annotations. CoRR abs/2202.03740 (2022) - [i30]Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. CoRR abs/2202.07054 (2022) - [i29]Shizhen Chang, Pedram Ghamisi:
Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection. CoRR abs/2203.10030 (2022) - [i28]Daniel Coquelin, Behnood Rasti, Markus Götz, Pedram Ghamisi, Richard Gloaguen, Achim Streit:
HyDe: The First Open-Source, Python-Based, GPU-Accelerated Hyperspectral Denoising Package. CoRR abs/2204.06979 (2022) - [i27]Jun Yue, Leyuan Fang, Pedram Ghamisi, Weiying Xie, Jun Li, Jocelyn Chanussot, Antonio J. Plaza:
Optical Remote Sensing Image Understanding with Weak Supervision: Concepts, Methods, and Perspectives. CoRR abs/2204.09120 (2022) - [i26]Omid Ghorbanzadeh, Yonghao Xu, Pedram Ghamisi, Michael Kopp, David P. Kreil:
Landslide4Sense: Reference Benchmark Data and Deep Learning Models for Landslide Detection. CoRR abs/2206.00515 (2022) - [i25]Yonghao Xu, Weikang Yu, Pedram Ghamisi, Michael Kopp, Sepp Hochreiter:
Txt2Img-MHN: Remote Sensing Image Generation from Text Using Modern Hopfield Networks. CoRR abs/2208.04441 (2022) - [i24]Laura Elena Cue La Rosa, Dário A. B. Oliveira, Pedram Ghamisi:
Learning crop type mapping from regional label proportions in large-scale SAR and optical imagery. CoRR abs/2208.11607 (2022) - [i23]Omid Ghorbanzadeh, Yonghao Xu, Hengwei Zhao, Junjue Wang, Yanfei Zhong, Dong Zhao, Qi Zang, Shuang Wang, Fahong Zhang, Yilei Shi, Xiao Xiang Zhu, Lin Bai, Weile Li, Weihang Peng, Pedram Ghamisi:
The Outcome of the 2022 Landslide4Sense Competition: Advanced Landslide Detection from Multi-Source Satellite Imagery. CoRR abs/2209.02556 (2022) - [i22]Michael Schmitt, Pedram Ghamisi, Naoto Yokoya, Ronny Hänsch:
EOD: The IEEE GRSS Earth Observation Database. CoRR abs/2209.12480 (2022) - [i21]Puhong Duan, Xudong Kang, Pedram Ghamisi:
Hyperspectral Remote Sensing Benchmark Database for Oil Spill Detection with an Isolation Forest-Guided Unsupervised Detector. CoRR abs/2209.14971 (2022) - [i20]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
Sketched Multi-view Subspace Learning for Hyperspectral Anomalous Change Detection. CoRR abs/2210.04271 (2022) - [i19]Nikolaus Dräger, Yonghao Xu, Pedram Ghamisi:
Backdoor Attacks for Remote Sensing Data with Wavelet Transform. CoRR abs/2211.08044 (2022) - [i18]Yonghao Xu, Tao Bai, Weikang Yu, Shizhen Chang, Peter M. Atkinson, Pedram Ghamisi:
AI Security for Geoscience and Remote Sensing: Challenges and Future Trends. CoRR abs/2212.09360 (2022) - 2021
- [i17]Yaoming Cai, Zijia Zhang, Zhihua Cai, Xiaobo Liu, Yao Ding, Pedram Ghamisi:
Fully Linear Graph Convolutional Networks for Semi-Supervised Learning and Clustering. CoRR abs/2111.07942 (2021) - [i16]Yaoming Cai, Zijia Zhang, Yan Liu, Pedram Ghamisi, Kun Li, Xiaobo Liu, Zhihua Cai:
Large-Scale Hyperspectral Image Clustering Using Contrastive Learning. CoRR abs/2111.07945 (2021) - [i15]Claudio Persello, Jan Dirk Wegner, Ronny Hänsch, Devis Tuia, Pedram Ghamisi, Mila Koeva, Gustau Camps-Valls:
Deep Learning and Earth Observation to Support the Sustainable Development Goals. CoRR abs/2112.11367 (2021) - 2020
- [i14]Renlong Hang, Zhu Li, Pedram Ghamisi, Danfeng Hong, Guiyu Xia, Qingshan Liu:
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs. CoRR abs/2002.01144 (2020) - [i13]Behnood Rasti, Danfeng Hong, Renlong Hang, Pedram Ghamisi, Xudong Kang, Jocelyn Chanussot, Jón Atli Benediktsson:
Feature Extraction for Hyperspectral Imagery: The Evolution from Shallow to Deep. CoRR abs/2003.02822 (2020) - [i12]Saeed Nosratabadi, Amir Mosavi, Puhong Duan, Pedram Ghamisi:
Data Science in Economics. CoRR abs/2003.13422 (2020) - [i11]Amir Mosavi, Pedram Ghamisi, Yaser Faghan, Puhong Duan:
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics. CoRR abs/2004.01509 (2020) - [i10]Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya:
Hyperspectral Image Classification with Attention Aided CNNs. CoRR abs/2005.11977 (2020) - [i9]Puhong Duan, Pedram Ghamisi, Xudong Kang, Behnood Rasti, Shutao Li, Richard Gloaguen:
Fusion of Dual Spatial Information for Hyperspectral Image Classification. CoRR abs/2010.12337 (2020) - [i8]Sancho Salcedo-Sanz, Pedram Ghamisi, Maria Piles, Martin Werner, Lucas Cuadra, Álvaro Moreno-Martínez, Emma Izquierdo-Verdiguier, Jordi Muñoz-Marí, Amirhosein Mosavi, Gustau Camps-Valls:
Machine Learning Information Fusion in Earth Observation: A Comprehensive Review of Methods, Applications and Data Sources. CoRR abs/2012.05795 (2020) - 2019
- [i7]Renlong Hang, Qingshan Liu, Danfeng Hong, Pedram Ghamisi:
Cascaded Recurrent Neural Networks for Hyperspectral Image Classification. CoRR abs/1902.10858 (2019) - [i6]Guichen Zhang, Pedram Ghamisi, Xiao Xiang Zhu:
Fusion of Heterogeneous Earth Observation Data for the Classification of Local Climate Zones. CoRR abs/1905.12305 (2019) - [i5]Shutao Li, Weiwei Song, Leyuan Fang, Yushi Chen, Pedram Ghamisi, Jón Atli Benediktsson:
Deep Learning for Hyperspectral Image Classification: An Overview. CoRR abs/1910.12861 (2019) - [i4]Danfeng Hong, Xin Wu, Pedram Ghamisi, Jocelyn Chanussot, Naoto Yokoya, Xiao Xiang Zhu:
Invariant Attribute Profiles: A Spatial-Frequency Joint Feature Extractor for Hyperspectral Image Classification. CoRR abs/1912.08847 (2019) - 2018
- [i3]Pedram Ghamisi, Behnood Rasti, Naoto Yokoya, Qunming Wang, Bernhard Höfle, Lorenzo Bruzzone, Francesca Bovolo, Mingmin Chi, Katharina Anders, Richard Gloaguen, Peter M. Atkinson, Jón Atli Benediktsson:
Multisource and Multitemporal Data Fusion in Remote Sensing. CoRR abs/1812.08287 (2018) - 2017
- [i2]Pedram Ghamisi, Gabriele Cavallaro, Dan Wu, Jón Atli Benediktsson, Antonio Plaza:
Integration of LiDAR and Hyperspectral Data for Land-cover Classification: A Case Study. CoRR abs/1707.02642 (2017) - [i1]Shaghayegh Kargozar Nahavandya, Lalit Kumar, Pedram Ghamisi:
Using the SLEUTH urban growth model to simulate the impacts of future policy scenarios on urban land use in the Tehran metropolitan area in Iran. CoRR abs/1708.01089 (2017)
Coauthor Index
[j146] [j145] [j117] [j111] [j110] [j105] [j102] [j80] [j75] [j66] [j64] [j63] [j61] [j47] [j44] [j16] [c64] [c63] [c62] [c59] [c58] [c57] [c56] [c55] [c54] [c51] [c49] [c48] [c46] [c45] [c40] [c39] [c37] [c36] [c35] [c34] [c33] [c31] [c29] [c28] [c27] [c26] [c22] [c21] [c20] [i50] [i43] [i40] [i35] [i28] [i9] [i3]
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