Hyperspectral Unmixing Method Based on Minimum Volume Sparse Regularization

Guangxian Xu; Yanwei Wang; Fei Ma; Feixia Yang

doi:10.3788/LOP57.241010

Journals >Laser & Optoelectronics Progress >Volume 57 >Issue 24 >Page 241010 > Article

Laser & Optoelectronics Progress
Vol. 57, Issue 24, 241010 (2020)

Hyperspectral Unmixing Method Based on Minimum Volume Sparse Regularization

Guangxian Xu¹, Yanwei Wang^1,*, Fei Ma^1,*, and Feixia Yang²

Author Affiliations

¹School of Electronic and Information Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China

²School of Electrical and Control Engineering, Liaoning Technical University, Huludao, Liaoning 125105, China

show less

DOI: 10.3788/LOP57.241010 Cite this Article Set citation alerts

Guangxian Xu, Yanwei Wang, Fei Ma, Feixia Yang. Hyperspectral Unmixing Method Based on Minimum Volume Sparse Regularization[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241010 Copy Citation Text

show less

Cited By

Article index updated: Jul. 25, 2025

The article is cited by 1 article(s) CLP online library. (Some content might be in Chinese.)

Guangxian Xu, Yanwei Wang, Fei Ma, Feixia Yang. Hyperspectral Unmixing Method Based on Minimum Volume Sparse Regularization[J]. Laser & Optoelectronics Progress, 2020, 57(24): 241010

Download Citation

Set citation alerts for the article

Tools

Set citation alerts for the article

Save the article for my favorites

Paper Information

微信扫一扫：分享

微信扫一扫：分享