Hyperspectral Image Unmixing Based on Constrained Nonnegative Matrix Factorization

Shuai Fang; Jinming Wang; Fengyun Cao

doi:10.3788/LOP56.161001

Journals >Laser & Optoelectronics Progress >Volume 56 >Issue 16 >Page 161001 > Article

Laser & Optoelectronics Progress
Vol. 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

Author Affiliations

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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DOI: 10.3788/LOP56.161001 Cite this Article Set citation alerts

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

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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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