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Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing

  • Published:2019-12 Issue:12 Volume:57 Page:9858-9877
  • ISSN:0196-2892
  • Container-title:IEEE Transactions on Geoscience and Remote Sensing
  • language:
  • Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Zhuang LinaORCID,Lin Chia-HsiangORCID,Figueiredo Mario A. T.ORCID,Bioucas-Dias Jose M.ORCID

Funder

Seventh Framework Programme

European Regional Development Fund

Ministry of Science and Technology, Taiwan

Higher Education Sprout Project of Ministry of Education (MOE) to the Headquarters of University Advancement at National Cheng Kung University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Cited by 89 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. Dual-Branch Autoencoder with Clustering Information for Hyperspectral Blind Unmixing;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Robust hyperspectral unmixing using weighted group sparsity and minimum volume regularization;International Journal of Remote Sensing;2024-07-02

3. A new convex model for linear hyperspectral unmixing;Journal of Computational and Applied Mathematics;2024-05

4. CDCTA: cascaded dual-constrained transformer autoencoder for hyperspectral unmixing with endmember variability and spectral geometry;Journal of Applied Remote Sensing;2024-04-18

5. Multi-stream pyramid collaborative network for spectral unmixing;International Journal of Remote Sensing;2024-04-08
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