Dictionary Learning-Cooperated Matrix Decomposition for Hyperspectral Target Detection

Dictionary Learning-Cooperated Matrix Decomposition for Hyperspectral Target Detection

Hyperspectral target detection is one of the most challenging tasks in remote sensing due to limited spectral information. Many algorithms based on matrix decomposition (MD) are proposed to promote the separation of the background and targets, but they suffer from two problems: (1) Targets are detec...

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Bibliographic Details
Main Authors: Yuan Yao, Mengbi Wang, Ganghui Fan, Wendi Liu, Yong Ma, Xiaoguang Mei
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
hyperspectral target detection
low rank and sparse matrix decomposition
dictionary learning
generalized likelihood ratio test
Online Access:https://www.mdpi.com/2072-4292/14/17/4369

Internet

https://www.mdpi.com/2072-4292/14/17/4369

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