Cauchy Nonnegative Matrix Factorization for Hyperspectral Unmixing Based on Graph Laplacian Regularization

Shanxue Chen; Shaohua Xu

doi:10.3788/LOP232437

Laser & Optoelectronics Progress, Volume. 61, Issue 14, 1428004(2024)

Cauchy Nonnegative Matrix Factorization for Hyperspectral Unmixing Based on Graph Laplacian Regularization

Shanxue Chen¹ and Shaohua Xu^2、*

¹Engineering Research Center of Mobile Communications of the Ministry of Education, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

²Chongqing Key Laboratory of Mobile Communications Technology, School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

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Shanxue Chen, Shaohua Xu. Cauchy Nonnegative Matrix Factorization for Hyperspectral Unmixing Based on Graph Laplacian Regularization[J]. Laser & Optoelectronics Progress, 2024, 61(14): 1428004

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Paper Information

Category: Remote Sensing and Sensors

Received: Nov. 6, 2023

Accepted: Nov. 27, 2023

Published Online: Jul. 8, 2024

The Author Email: Shaohua Xu (535849135@qq.com)

DOI:10.3788/LOP232437

CSTR:32186.14.LOP232437

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology