Hyperspectral Image Mixed Denoising via Robust Representation Coefficient Image Guidance and Nonlocal Low-Rank Approximation

Recently, hyperspectral image (HSI) mixed denoising methods based on nonlocal subspace representation (NSR) have achieved significant success. However, most of these methods focus on optimizing the denoiser for representation coefficient images (RCIs) without considering how to construct RCIs that b...

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Bibliographic Details
Main Authors:	Jiawei Song, Baolong Guo, Zhe Yuan, Chao Wang, Fangliang He, Cheng Li
Format:	Article
Language:	English
Published:	MDPI AG 2025-03-01
Series:	Remote Sensing
Subjects:	hyperspectral image (HSI) denoising nonlocal self-similarity sparse principal component analysis (SPCA) low-rank approximation subspace representation
Online Access:	https://www.mdpi.com/2072-4292/17/6/1021
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Hyperspectral Image Mixed Denoising via Robust Representation Coefficient Image Guidance and Nonlocal Low-Rank Approximation

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