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Tensor Decompositions for Hyperspectral Data Processing in Remote Sensing: A Comprehensive Review


May 13, 2022
Minghua Wang, Danfeng Hong, Zhu Han, Jiaxin Li, Jing Yao, Lianru Gao, Bing Zhang, Jocelyn Chanussot


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Deep Learning in Multimodal Remote Sensing Data Fusion: A Comprehensive Review


May 03, 2022
Jiaxin Li, Danfeng Hong, Lianru Gao, Jing Yao, Ke Zheng, Bing Zhang, Jocelyn Chanussot


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SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers


Jul 07, 2021
Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot


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Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing


May 21, 2021
Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang

* IEEE Transactions on Neural Networks and Learning Systems, 2021 

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Using Low-rank Representation of Abundance Maps and Nonnegative Tensor Factorization for Hyperspectral Nonlinear Unmixing


Mar 30, 2021
Lianru Gao, Zhicheng Wang, Lina Zhuang, Haoyang Yu, Bing Zhang, Jocelyn Chanussot


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Hyperspectral Image Denoising and Anomaly Detection Based on Low-rank and Sparse Representations


Mar 12, 2021
Lina Zhuang, Lianru Gao, Bing Zhang, Xiyou Fu, Jose M. Bioucas-Dias


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Interpretable Hyperspectral AI: When Non-Convex Modeling meets Hyperspectral Remote Sensing


Mar 02, 2021
Danfeng Hong, Wei He, Naoto Yokoya, Jing Yao, Lianru Gao, Liangpei Zhang, Jocelyn Chanussot, Xiao Xiang Zhu


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Physically-Constrained Transfer Learning through Shared Abundance Space for Hyperspectral Image Classification


Aug 30, 2020
Ying Qu, Razieh Kaviani Baghbaderani, Wei Li, Lianru Gao, Hairong Qi


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More Diverse Means Better: Multimodal Deep Learning Meets Remote Sensing Imagery Classification


Aug 12, 2020
Danfeng Hong, Lianru Gao, Naoto Yokoya, Jing Yao, Jocelyn Chanussot, Qian Du, Bing Zhang

* IEEE Transactions on Geoscience and Remote Sensing, 2020 

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