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2020 – today
- 2023
[j124]Haotian Zhang, Jing Yao
, Li Ni, Lianru Gao, Min Huang:
Multimodal Attention-Aware Convolutional Neural Networks for Classification of Hyperspectral and LiDAR Data. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16: 3635-3644 (2023)- [j123]Lianru Gao, Jiaxin Li, Ke Zheng, Xiuping Jia:
Enhanced Autoencoders With Attention-Embedded Degradation Learning for Unsupervised Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j122]Lianru Gao, Xiaotong Sun, Xu Sun, Lina Zhuang, Qian Du, Bing Zhang:
Hyperspectral Anomaly Detection Based on Chessboard Topology. IEEE Trans. Geosci. Remote. Sens. 61: 1-16 (2023) - [j121]Lianru Gao, Degang Wang, Lina Zhuang, Xu Sun, Min Huang, Antonio Plaza:
BS3LNet: A New Blind-Spot Self-Supervised Learning Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-18 (2023) - [j120]Jiaxin Li, Ke Zheng, Zhi Li, Lianru Gao, Xiuping Jia:
X-Shaped Interactive Autoencoders With Cross-Modality Mutual Learning for Unsupervised Hyperspectral Image Super-Resolution. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j119]Longfei Ren, Danfeng Hong, Lianru Gao, Xu Sun, Min Huang, Jocelyn Chanussot:
Hyperspectral Sparse Unmixing via Nonconvex Shrinkage Penalties. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j118]Longfei Ren, Danfeng Hong, Lianru Gao, Xu Sun, Min Huang, Jocelyn Chanussot:
Orthogonal Subspace Unmixing to Address Spectral Variability for Hyperspectral Image. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - [j117]Yuanchao Su, Jiangyi Chen, Lianru Gao, Antonio Plaza, Mengying Jiang, Xiang Xu, Xu Sun, Pengfei Li:
ACGT-Net: Adaptive Cuckoo Refinement-Based Graph Transfer Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j116]Xiaotong Sun, Lina Zhuang, Lianru Gao, Hongmin Gao, Xu Sun, Bing Zhang:
Information Retrieval With Chessboard-Shaped Topology for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j115]Degang Wang, Lina Zhuang, Lianru Gao, Xu Sun, Min Huang, Antonio J. Plaza:
PDBSNet: Pixel-Shuffle Downsampling Blind-Spot Reconstruction Network for Hyperspectral Anomaly Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j114]Wenbo Yu, Lianru Gao, He Huang, Yi Shen, Gangxiang Shen:
HI2D2FNet: Hyperspectral Intrinsic Image Decomposition Guided Data Fusion Network for Hyperspectral and LiDAR Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-15 (2023) - [j113]Xuming Zhang, Yuanchao Su, Lianru Gao, Lorenzo Bruzzone, Xingfa Gu, Qingjiu Tian:
A Lightweight Transformer Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 61: 1-17 (2023) - [j112]Tianwei Zhang, Xu Sun, Lina Zhuang, Xiaoyu Dong, Lianru Gao, Bing Zhang, Ke Zheng:
FFN: Fountain Fusion Net for Arbitrary-Oriented Object Detection. IEEE Trans. Geosci. Remote. Sens. 61: 1-13 (2023) - 2022
- [j111]Weiqiang Rao, Ying Qu, Lianru Gao, Xu Sun, Yuanfeng Wu, Bing Zhang:
Transferable network with Siamese architecture for anomaly detection in hyperspectral images. Int. J. Appl. Earth Obs. Geoinformation 106: 102669 (2022) - [j110]Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot:
Deep learning in multimodal remote sensing data fusion: A comprehensive review. Int. J. Appl. Earth Obs. Geoinformation 112: 102926 (2022) - [j109]Zhu Han, Danfeng Hong, Lianru Gao, Swalpa Kumar Roy, Bing Zhang, Jocelyn Chanussot:
Reinforcement Learning for Neural Architecture Search in Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j108]Danfeng Hong, Lianru Gao, Renlong Hang, Bing Zhang, Jocelyn Chanussot:
Deep Encoder-Decoder Networks for Classification of Hyperspectral and LiDAR Data. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j107]Danfeng Hong, Xin Wu, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Learning Locality-Constrained Sparse Coding for Spectral Enhancement of Multispectral Imagery. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j106]Jiaxin Li, Ke Zheng, Jing Yao, Lianru Gao, Danfeng Hong:
Deep Unsupervised Blind Hyperspectral and Multispectral Data Fusion. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j105]Yuanchao Su, Mengying Jiang, Lianru Gao, Xu Sun, Xueer You, Pengfei Li:
Graph-Cut-Based Collaborative Node Embeddings for Hyperspectral Images Classification. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j104]Bing Zhang, Yashinov Aziz, Zhicheng Wang, Lina Zhuang, Michael K. Ng, Lianru Gao:
Hyperspectral Image Stripe Detection and Correction Using Gabor Filters and Subspace Representation. IEEE Geosci. Remote. Sens. Lett. 19: 1-5 (2022) - [j103]Hezhi Sun, Ming Liu, Ke Zheng, Dong Yang, Jindong Li, Lianru Gao:
Hyperspectral Image Denoising via Low-Rank Representation and CNN Denoiser. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 716-728 (2022) - [j102]Bing Zhang, Yuanfeng Wu, Boya Zhao, Jocelyn Chanussot, Danfeng Hong, Jing Yao, Lianru Gao:
Progress and Challenges in Intelligent Remote Sensing Satellite Systems. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1814-1822 (2022) - [j101]Lian Liu, Danfeng Hong, Li Ni, Lianru Gao:
Multilayer Cascade Screening Strategy for Semi-Supervised Change Detection in Hyperspectral Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 1926-1940 (2022) - [j100]Shuo Wang, Wei Feng, Yinghui Quan, Wenxing Bao, Gabriel Dauphin, Lianru Gao, Xian Zhong, Mengdao Xing:
Subfeature Ensemble-Based Hyperspectral Anomaly Detection Algorithm. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 5943-5952 (2022) - [j99]Zhu Han, Danfeng Hong, Lianru Gao, Bing Zhang, Min Huang, Jocelyn Chanussot:
AutoNAS: Automatic Neural Architecture Search for Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j98]Shuxian Dong, Wei Feng, Yinghui Quan, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
Deep Ensemble CNN Method Based on Sample Expansion for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j97]Lianru Gao, Zhu Han, Danfeng Hong, Bing Zhang, Jocelyn Chanussot:
CyCU-Net: Cycle-Consistency Unmixing Network by Learning Cascaded Autoencoders. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j96]Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot:
Using Low-Rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j95]Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Jocelyn Chanussot:
Multimodal Hyperspectral Unmixing: Insights From Attention Networks. IEEE Trans. Geosci. Remote. Sens. 60: 1-13 (2022) - [j94]Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
SpectralFormer: Rethinking Hyperspectral Image Classification With Transformers. IEEE Trans. Geosci. Remote. Sens. 60: 1-15 (2022) - [j93]Wenfei Luo, Lianru Gao, Danfeng Hong, Jocelyn Chanussot:
Endmember Purification With Affine Simplicial Cone Model. IEEE Trans. Geosci. Remote. Sens. 60: 1-23 (2022) - [j92]Weiqiang Rao, Lianru Gao, Ying Qu, Xu Sun, Bing Zhang, Jocelyn Chanussot:
Siamese Transformer Network for Hyperspectral Image Target Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j91]Xiaotong Sun, Ying Qu, Lianru Gao, Xu Sun, Hairong Qi, Bing Zhang, Ting Shen:
Ensemble-Based Information Retrieval With Mass Estimation for Hyperspectral Target Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-23 (2022) - [j90]Yanheng Wang, Danfeng Hong, Jianjun Sha, Lianru Gao, Lian Liu, Yonggang Zhang, Xianhui Rong:
Spectral-Spatial-Temporal Transformers for Hyperspectral Image Change Detection. IEEE Trans. Geosci. Remote. Sens. 60: 1-14 (2022) - [j89]Zhicheng Wang, Michael K. Ng, Lina Zhuang, Lianru Gao, Bing Zhang:
Nonlocal Self-Similarity-Based Hyperspectral Remote Sensing Image Denoising With 3-D Convolutional Neural Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j88]Ke Zheng, Lianru Gao, Danfeng Hong, Bing Zhang, Jocelyn Chanussot:
NonRegSRNet: A Nonrigid Registration Hyperspectral Super-Resolution Network. IEEE Trans. Geosci. Remote. Sens. 60: 1-16 (2022) - [j87]Lina Zhuang, Lianru Gao, Bing Zhang, Xiyou Fu, José M. Bioucas-Dias:
Hyperspectral Image Denoising and Anomaly Detection Based on Low-Rank and Sparse Representations. IEEE Trans. Geosci. Remote. Sens. 60: 1-17 (2022) - [j86]Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang:
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6518-6531 (2022) - [c56]Yuanchao Su, Mengying Jiang, Lianru Gao, Xueer You, Xu Sun, Pengfei Li:
Graph-Cut-Based Node Embedding for Dimensionality Reduction and Classification of Hyperspectral Remote Sensing Images. IGARSS 2022: 1720-1723 - [c55]Zhu Han, Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Jocelyn Chanussot:
Multimodal Hyperspectral Unmixing via Attention Networks. IGARSS 2022: 1784-1787 - [c54]Jing Yao, Danfeng Hong, Lianru Gao, Jocelyn Chanussot:
Multimodal Remote Sensing Benchmark Datasets for Land Cover Classification. IGARSS 2022: 4807-4810 - [c53]Longfei Ren, Danfeng Hong, Xu Sun, Lianru Gao, Min Huang:
Hyperspectral Sparse Unmixing Via Firm Thresholding Mapping. WHISPERS 2022: 1-5 - [i12]Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot:
Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review. CoRR abs/2205.01380 (2022) - [i11]Minghua Wang, Danfeng Hong, Zhu Han, Jiaxin Li, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review. CoRR abs/2205.06407 (2022) - 2021
- [j85]Yanheng Wang, Lianru Gao, Danfeng Hong, Jianjun Sha, Lian Liu, Bing Zhang, Xianhui Rong, Yonggang Zhang:
Mask DeepLab: End-to-end image segmentation for change detection in high-resolution remote sensing images. Int. J. Appl. Earth Obs. Geoinformation 104: 102582 (2021) - [j84]Wei Feng, Yinghui Quan, Gabriel Dauphin, Qiang Li, Lianru Gao, Wenjiang Huang, Junshi Xia, Wentao Zhu, Mengdao Xing:
Semi-supervised rotation forest based on ensemble margin theory for the classification of hyperspectral image with limited training data. Inf. Sci. 575: 611-638 (2021) - [j83]Haoyang Yu, Xiao-Di Shang, Xiao Zhang, Lianru Gao, Meiping Song, Jiaochan Hu:
Hyperspectral Image Classification Based on Adjacent Constraint Representation. IEEE Geosci. Remote. Sens. Lett. 18(4): 707-711 (2021) - [j82]Zhu Han, Danfeng Hong, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Deep Half-Siamese Networks for Hyperspectral Unmixing. IEEE Geosci. Remote. Sens. Lett. 18(11): 1996-2000 (2021) - [j81]Boya Zhao, Yuanfeng Wu, Xinran Guan, Lianru Gao, Bing Zhang:
An Improved Aggregated-Mosaic Method for the Sparse Object Detection of Remote Sensing Imagery. Remote. Sens. 13(13): 2602 (2021) - [j80]Xuemei Zhao, Danfeng Hong, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Transferable Deep Learning from Time Series of Landsat Data for National Land-Cover Mapping with Noisy Labels: A Case Study of China. Remote. Sens. 13(21): 4194 (2021) - [j79]Qinzhe Lv, Wei Feng, Yinghui Quan, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
Enhanced-Random-Feature-Subspace-Based Ensemble CNN for the Imbalanced Hyperspectral Image Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 3988-3999 (2021) - [j78]Shuxian Dong, Yinghui Quan, Wei Feng, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
A Pixel Cluster CNN and Spectral-Spatial Fusion Algorithm for Hyperspectral Image Classification With Small-Size Training Samples. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 4101-4114 (2021) - [j77]Xiaoyu Dong, Xu Sun, Xiuping Jia, Zhihong Xi, Lianru Gao, Bing Zhang:
Remote Sensing Image Super-Resolution Using Novel Dense-Sampling Networks. IEEE Trans. Geosci. Remote. Sens. 59(2): 1618-1633 (2021) - [j76]Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot:
Spectral Superresolution of Multispectral Imagery With Joint Sparse and Low-Rank Learning. IEEE Trans. Geosci. Remote. Sens. 59(3): 2269-2280 (2021) - [j75]Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot:
Coupled Convolutional Neural Network With Adaptive Response Function Learning for Unsupervised Hyperspectral Super Resolution. IEEE Trans. Geosci. Remote. Sens. 59(3): 2487-2502 (2021) - [j74]Hongmin Gao, Yao Yang, Chenming Li, Lianru Gao, Bing Zhang:
Multiscale Residual Network With Mixed Depthwise Convolution for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(4): 3396-3408 (2021) - [j73]Xiaoyu Dong, Longguang Wang, Xu Sun, Xiuping Jia, Lianru Gao, Bing Zhang:
Remote Sensing Image Super-Resolution Using Second-Order Multi-Scale Networks. IEEE Trans. Geosci. Remote. Sens. 59(4): 3473-3485 (2021) - [j72]Xiaotong Sun, Ying Qu, Lianru Gao, Xu Sun, Hairong Qi, Bing Zhang, Ting Shen:
Target Detection Through Tree-Structured Encoding for Hyperspectral Images. IEEE Trans. Geosci. Remote. Sens. 59(5): 4233-4249 (2021) - [j71]Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang:
More Diverse Means Better: Multimodal Deep Learning Meets Remote-Sensing Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 59(5): 4340-4354 (2021) - [j70]Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
Graph Convolutional Networks for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(7): 5966-5978 (2021) - [j69]Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Yuxiang Zhang, Hairong Qi:
Physically Constrained Transfer Learning Through Shared Abundance Space for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 59(12): 10455-10472 (2021) - [c52]Lian Liu, Danfeng Hong, Lianru Gao:
Change Detection for Hyperspectral Imagery Based on Multi-layer Cascade Screening Strategy. CIKM Workshops 2021 - [c51]Danfeng Hong, Xin Wu, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot:
Multimodal Convolutional Neural Networks with Cross-Channel Reconstruction. IGARSS 2021: 282-285 - [c50]Hao Zhang, Haoyang Yu, Zhen Xu, Ke Zheng, Lianru Gao:
A Novel Classification Framework for Hyperspectral Image Classification Based on Multi-Scale Dense Network. IGARSS 2021: 2238-2241 - [c49]Zhu Han, Danfeng Hong, Lianru Gao, Jocelyn Chanussot, Bing Zhang:
EvoNAS: Evolvable Neural Architecture Search for Hyperspectral Unmixing. IGARSS 2021: 3325-3328 - [c48]Qinzhe Lv, Wei Feng, Yinghui Quan, Qiang Li, Gabriel Dauphin, Lianru Gao, Guoping Zhao, Mengdao Xing:
Ensemble CNN with Enhanced Feature Subspaces for Imbalanced Hyperspectral Image Classification. IGARSS 2021: 3669-3672 - [c47]Danfeng Hong, Lianru Gao, Xin Wu, Jing Yao, Naoto Yokoya, Bing Zhang:
A Unified Multimodal Deep Learning Framework For Remote Sensing Imagery Classification. WHISPERS 2021: 1-5 - [c46]Danfeng Hong, Lianru Gao, Xin Wu, Jing Yao, Bing Zhang:
Revisiting Graph Convolutional Networks with Mini-Batch Sampling for Hyperspectral Image Classification. WHISPERS 2021: 1-5 - [c45]Zhen Xu, Haoyang Yu, Ke Zheng, Lianru Gao, Meiping Song:
A Novel Classification Framework for Hyperspectral Image Classification Based on Multiscale Spectral-Spatial Convolutional Network. WHISPERS 2021: 1-5 - [i10]Danfeng Hong, Wei He, Naoto Yokoya, Jing Yao, Lianru Gao, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu:
Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing. CoRR abs/2103.01449 (2021) - [i9]Lina Zhuang, Lianru Gao, Bing Zhang, Xiyou Fu, José M. Bioucas-Dias:
Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations. CoRR abs/2103.07437 (2021) - [i8]Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot:
Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing. CoRR abs/2103.16204 (2021) - [i7]Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang:
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. CoRR abs/2105.10194 (2021) - [i6]Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers. CoRR abs/2107.02988 (2021) - 2020
- [j68]Lianru Gao, Daixin Gu, Lina Zhuang, Jinchang Ren, Dong Yang, Bing Zhang:
Combining t-Distributed Stochastic Neighbor Embedding With Convolutional Neural Networks for Hyperspectral Image Classification. IEEE Geosci. Remote. Sens. Lett. 17(8): 1368-1372 (2020) - [j67]Haoyang Yu, Lianru Gao, Jun Li, Bing Zhang:
Subspace-based multitask learning framework for hyperspectral imagery classification. Multim. Tools Appl. 79(13-14): 8887-8909 (2020) - [j66]Xiaochen Yang, Mingzhi Dong, Ziyu Wang, Lianru Gao, Lefei Zhang, Jing-Hao Xue:
Data-augmented matched subspace detector for hyperspectral subpixel target detection. Pattern Recognit. 106: 107464 (2020) - [j65]Yao Liu, Lianru Gao, Chenchao Xiao, Ying Qu, Ke Zheng, Andrea Marinoni:
Hyperspectral Image Classification Based on a Shuffled Group Convolutional Neural Network with Transfer Learning. Remote. Sens. 12(11): 1780 (2020) - [j64]Yinghui Quan, Xian Zhong, Wei Feng, Gabriel Dauphin, Lianru Gao, Mengdao Xing:
A Novel Feature Extension Method for the Forest Disaster Monitoring Using Multispectral Data. Remote. Sens. 12(14): 2261 (2020) - [j63]Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Qiandong Guo, Lianru Gao:
Hyperspectral Imagery Classification Based on Multiscale Superpixel-Level Constraint Representation. Remote. Sens. 12(20): 3342 (2020) - [j62]Zhicheng Wang, Lina Zhuang, Lianru Gao, Andrea Marinoni, Bing Zhang, Michael K. Ng:
Hyperspectral Nonlinear Unmixing by Using Plug-and-Play Prior for Abundance Maps. Remote. Sens. 12(24): 4117 (2020) - [j61]Haoyang Yu, Xiao Zhang, Chunyan Yu, Lianru Gao, Bing Zhang:
Neighborhood Activity-Driven Representation for Hyperspectral Imagery Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 4506-4517 (2020) - [j60]Mengmeng Zhang, Wei Li, Qian Du, Lianru Gao, Bing Zhang:
Feature Extraction for Classification of Hyperspectral and LiDAR Data Using Patch-to-Patch CNN. IEEE Trans. Cybern. 50(1): 100-111 (2020) - [j59]Haoyang Yu, Lianru Gao, Wenzhi Liao, Bing Zhang, Lina Zhuang, Meiping Song, Jocelyn Chanussot:
Global Spatial and Local Spectral Similarity-Based Manifold Learning Group Sparse Representation for Hyperspectral Imagery Classification. IEEE Trans. Geosci. Remote. Sens. 58(5): 3043-3056 (2020) - [c44]Haoyang Yu, Xiao Zhang, Meiping Song, Jiaochan Hu, Lianru Gao:
Superpixel-Level Constraint Representation for Hyperspectral Imagery Classification. IGARSS 2020: 56-59 - [c43]Zengfu Hou, Wei Li, Lianru Gao, Bing Zhang, Pengge Ma, Junling Sun:
A Background Refinement Collaborative Representation Method with Saliency Weight for Hyperspectral Anomaly Detection. IGARSS 2020: 2412-2415 - [c42]Shujuan Yin, Zheyu Liu, Guihong Li, Fei Qiao, Qi Wei, Yuanfeng Wu, Lianru Gao, Xinjun Liu, Huazhong Yang:
RARA: Dataflow Based Error Compensation Methods with Runtime Accuracy-Reconfigurable Adder. ISQED 2020: 60-66 - [i5]Lianru Gao, Danfeng Hong, Jing Yao, Bing Zhang, Paolo Gamba, Jocelyn Chanussot:
Spectral Superresolution of Multispectral Imagery with Joint Sparse and Low-Rank Learning. CoRR abs/2007.14006 (2020) - [i4]Ke Zheng, Lianru Gao, Wenzhi Liao, Danfeng Hong, Bing Zhang, Ximin Cui, Jocelyn Chanussot:
Coupled Convolutional Neural Network with Adaptive Response Function Learning for Unsupervised Hyperspectral Super-Resolution. CoRR abs/2007.14007 (2020) - [i3]Danfeng Hong, Lianru Gao, Jing Yao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot:
Graph Convolutional Networks for Hyperspectral Image Classification. CoRR abs/2008.02457 (2020) - [i2]Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang:
More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification. CoRR abs/2008.05457 (2020) - [i1]Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Hairong Qi:
Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification. CoRR abs/2008.08563 (2020)
2010 – 2019
- 2019
- [j58]Wenfei Luo, Lianru Gao, Ruihao Zhang, Andrea Marinoni, Bing Zhang:
Bilinear normal mixing model for spectral unmixing. IET Image Process. 13(2): 344-354 (2019) - [j57]Peng Zhang, Haixia He, Lianru Gao:
A nonlinear and explicit framework of supervised manifold-feature extraction for hyperspectral image classification. Neurocomputing 337: 315-324 (2019) - [j56]Yuanfeng Wu, Sebastián López, Bing Zhang, Fei Qiao, Lianru Gao:
Approximate computing for onboard anomaly detection from hyperspectral images. J. Real Time Image Process. 16(1): 99-114 (2019) - [j55]Cong Li, Lianru Gao, Antonio Plaza, Bing Zhang:
FPGA implementation of a maximum simplex volume algorithm for endmember extraction from remotely sensed hyperspectral images. J. Real Time Image Process. 16(5): 1681-1694 (2019) - [j54]Xuemei Zhao, Lianru Gao, Zhengchao Chen, Bing Zhang, Wenzhi Liao, Xuan Yang:
An Entropy and MRF Model-Based CNN for Large-Scale Landsat Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(7): 1145-1149 (2019) - [j53]Ke Zheng, Lianru Gao, Qiong Ran, Ximin Cui, Bing Zhang, Wenzhi Liao, Sen Jia:
Separable-spectral convolution and inception network for hyperspectral image super-resolution. Int. J. Mach. Learn. Cybern. 10(10): 2593-2607 (2019) - [j52]Xiaochen Yang, Lefei Zhang, Lianru Gao, Jing-Hao Xue:
MSDH: Matched subspace detector with heterogeneous noise. Pattern Recognit. Lett. 125: 701-707 (2019) - [j51]Qiaoqiao Shi, Wei Li, Ran Tao, Xu Sun, Lianru Gao:
Ship Classification Based on Multifeature Ensemble with Convolutional Neural Network. Remote. Sens. 11(4): 419 (2019) - [j50]Xuran Pan, Fan Yang, Lianru Gao, Zhengchao Chen, Bing Zhang, Hairui Fan, Jinchang Ren:
Building Extraction from High-Resolution Aerial Imagery Using a Generative Adversarial Network with Spatial and Channel Attention Mechanisms. Remote. Sens. 11(8): 917 (2019) - [j49]Liwei Li, Zhi Yan, Qian Shen, Gang Cheng, Lianru Gao, Bing Zhang:
Water Body Extraction from Very High Spatial Resolution Remote Sensing Data Based on Fully Convolutional Networks. Remote. Sens. 11(10): 1162 (2019) - [j48]Zhengchao Chen, Kaixuan Lu, Lianru Gao, Baipeng Li, Jianwei Gao, Xuan Yang, Mufeng Yao, Bing Zhang:
Automatic Detection of Track and Fields in China from High-Resolution Satellite Images Using Multi-Scale-Fused Single Shot MultiBox Detector. Remote. Sens. 11(11): 1377 (