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2020 – today
- 2023
[j117]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)- 2022
- [j116]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) - [j115]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) - [j114]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) - [j113]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) - [j112]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) - [j111]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) - [j110]Lingbo Huang, Yushi Chen, Xin He, Pedram Ghamisi:
Supervised Contrastive Learning-Based Classification for Hyperspectral Image. Remote. Sens. 14(21): 5530 (2022) - [j109]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) - [j108]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) - [j107]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) - [j106]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) - [j105]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) - [j104]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) - [j103]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) - [j102]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) - [j101]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) - [j100]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) - [j99]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) - [j98]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) - [j97]Shizhen Chang, Michael Kopp, Pedram Ghamisi:
Sketched Multiview Subspace Learning for Hyperspectral Anomalous Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-12 (2022) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]Behnood Rasti, Bikram Koirala, Paul Scheunders, Pedram Ghamisi:
UnDIP: Hyperspectral Unmixing Using Deep Image Prior. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j91]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) - [j90]Yonghao Xu, Pedram Ghamisi:
Universal Adversarial Examples in Remote Sensing: Methodology and Benchmark. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j89]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) - [j88]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) - [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) - [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 - [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] - [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
- [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) - [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 - [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
- [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) - [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 - [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]