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Hyperspectral Unmixing Based on Local Collaborative Sparse Regression

  • Published:2016-05 Issue:5 Volume:13 Page:631-635
  • ISSN:1545-598X
  • Container-title:IEEE Geoscience and Remote Sensing Letters
  • language:
  • Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Zhang Shaoquan,Li Jun,Liu KaiORCID,Deng Chengzhi,Liu Lin,Plaza Antonio

Funder

Jiangxi Science and Technology Research Project of Education Department of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Cited by 64 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Endmember Distinguished Low-Rank and Sparse Representation for Hyperspectral Unmixing;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Graph Laplacian Regularization and Local Collaborative Sparse Regression Based on Superpixel Segmentation for Hyperspectral Imagery;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. Sparse Hyperspectral Unmixing With Preference-Based Evolutionary Multiobjective Multitasking Optimization;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04

4. Structured low-rank representation learning for hyperspectral sparse unmixing;International Journal of Remote Sensing;2024-01-15

5. Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package;IEEE Transactions on Geoscience and Remote Sensing;2024
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