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LRR-Net: An Interpretable Deep Unfolding Network for Hyperspectral Anomaly Detection

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Year: 2023
Type: article
Source: IEEE Transactions on Geoscience and Remote Sensing
DOI: 10.1109/tgrs.2023.3279834
Authors: Chenyu Li, Bing Zhang, Danfeng Hong, Jing Yao, Jocelyn Chanussot
Institutions: Chinese Academy of Sciences, Aerospace Information Research Institute, Southeast University, University of Chinese Academy of Sciences, Institut polytechnique de Grenoble, Centre National de la Recherche Scientifique, Institut national de recherche en sciences et technologies du numérique, GIPSA-Lab
Language: English

Topic: Remote-Sensing Image Classification
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences

Open Access status: closed

Funders: Agence Nationale de la Recherche, National Natural Science Foundation of China, AXA Research Fund, National Key Research and Development Program of China
Awards: MIAI @ Grenoble Alpes, G5484287860, G63802182, G6629202286
OpenAlex ID: W4378194596
FWCI: 20.99
Cites: 46
Cited by: 287
Related to: 9
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