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International Journal of Remote Sensing Volume 43, 2022 - Issue 7
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Research Article

Hyperspectral sparse unmixing based on multiple dictionary pruning

Peng Wanga College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Jiangsu, China;b Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Meteorological Institute of Hebei Province, Shijiazhuang, China;c Shanghai Key Lab of Intelligent Information Processing, Fudan University, Shanghai, ChinaView further author information
,
Xun Shena College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Jiangsu, ChinaView further author information
,
Kang Nid School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, ChinaView further author information
&
Lixin Shib Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Meteorological Institute of Hebei Province, Shijiazhuang, ChinaCorrespondence[email protected]
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Pages 2712-2734 | Received 02 Nov 2021, Accepted 14 Apr 2022, Published online: 29 Apr 2022

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Read on this site (2)

Jie Wang, Mengying Ni, Zhixiang Wang, Yu Yan, Xiang Cheng & Jindong Xu. (2024) Multi-stream pyramid collaborative network for spectral unmixing. International Journal of Remote Sensing 45:8, pages 2674-2701.
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Zhi Li, Ruyi Feng, Lizhe Wang & Tieyong Zeng. (2023) Spectral-spatial-sparse unmixing with superpixel-oriented graph Laplacian. International Journal of Remote Sensing 44:8, pages 2573-2589.
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Articles from other publishers (2)

Shujie Ding, Xiaoli Ruan, Jing Yang, Jie Sun, Shaobo Li & Jianjun Hu. (2024) LSSMA: Lightweight Spectral–Spatial Neural Architecture With Multiattention Feature Extraction for Hyperspectral Image Classification. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, pages 6394-6413.
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Jie Wang, Jindong Xu, Qianpeng Chong, Zhaowei Liu, Weiqing Yan, Haihua Xing, Qianguo Xing & Mengying Ni. (2023) SSANet: An Adaptive Spectral–Spatial Attention Autoencoder Network for Hyperspectral Unmixing. Remote Sensing 15:8, pages 2070.
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