Weighted Sparse Cauchy Nonnegative Matrix Factorization Hyperspectral Unmixing Based on Spatial-Spectral Constraints

Shanxue Chen; Zhiyuan Hu

doi:10.3788/LOP213319

Laser & Optoelectronics Progress, Volume. 60, Issue 10, 1028006(2023)

Weighted Sparse Cauchy Nonnegative Matrix Factorization Hyperspectral Unmixing Based on Spatial-Spectral Constraints

Shanxue Chen^1,2 and Zhiyuan Hu^1,3、*

¹Chongqing University of Posts and Telecommunications, School of Communication and Information Engineering, Chongqing, 400065, China

²Engineering Research Center of Mobile Communications of the Ministry of Education, Chongqing, 400065, China

³Chongqing Key Laboratory of Mobile Communications Technology, Chongqing, 400065, China

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Shanxue Chen, Zhiyuan Hu. Weighted Sparse Cauchy Nonnegative Matrix Factorization Hyperspectral Unmixing Based on Spatial-Spectral Constraints[J]. Laser & Optoelectronics Progress, 2023, 60(10): 1028006

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Paper Information

Category: Remote Sensing and Sensors

Received: Dec. 23, 2021

Accepted: Feb. 25, 2022

Published Online: Apr. 24, 2023

The Author Email: Zhiyuan Hu (308776453@qq.com)

DOI:10.3788/LOP213319

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology