Non-negative Matrix Factorization Based on Spectral Reconstruction Constraint for Hyperspectral and Panchromatic Image Fusion

Non-negative Matrix Factorization Based on Spectral Reconstruction Constraint for Hyperspectral and Panchromatic Image Fusion

An effective algorithm for unmixing hyperspectral and panchromatic images of non-negative matrix factorization based on spectral reconstruction constraint is proposed.Firstly,this algorithm employs the regularization with minimum spectral reconstruction error in the process of non-negative matrix fa...

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Bibliographic Details
Main Author: GUAN Zheng, DENG Yang-lin, NIE Ren-can
Format: Article
Language:zho
Published: Editorial office of Computer Science 2021-09-01
Series:Jisuanji kexue
Subjects:
image fusion|hyperspectral and panchromatic image|non-negative factorization|spectral reconstruction constraint|multi-objective optimization
Online Access:http://www.jsjkx.com/fileup/1002-137X/PDF/1002-137X-2021-9-153.pdf

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