Hyperspectral Image Unmixing Based on Constrained Nonnegative Matrix Factorization

Shuai Fang; Jinming Wang; Fengyun Cao

doi:10.3788/LOP56.161001

Laser & Optoelectronics Progress, Volume. 56, Issue 16, 161001(2019)

Hyperspectral Image Unmixing Based on Constrained Nonnegative Matrix Factorization

Shuai Fang^1、**, Jinming Wang^1、*, and Fengyun Cao^2,3

¹ Department of Artificial Intelligence and Data Mining, School of Computer Science and Information Engineering, Hefei University of Technology, Hefei, Anhui 230601, China

² Anhui Provincial Key Laboratory of Industry Safety and Emergency Technology, Hefei University of Technology, Hefei, Anhui 230601, China

³ School of Computer Science and Technology, Hefei Normal University, Hefei, Anhui 230601, China

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Shuai Fang, Jinming Wang, Fengyun Cao. Hyperspectral Image Unmixing Based on Constrained Nonnegative Matrix Factorization[J]. Laser & Optoelectronics Progress, 2019, 56(16): 161001

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Paper Information

Category: Image Processing

Received: Jan. 2, 2019

Accepted: Mar. 12, 2019

Published Online: Aug. 5, 2019

The Author Email: Shuai Fang (fangshuai@hfut.edu.cn), Jinming Wang (lnutwjm@mail.hfut.edu.cn)

DOI:10.3788/LOP56.161001

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology