Hyperspectral Image Denoising Based on Deep and Total Variation Priors

To address the problems of noise interference and image blurring in hyperspectral imaging (HSI), this paper proposes a denoising method for HSI based on deep learning and a total variation (TV) prior. The method minimizes the first-order moment distance between the deep prior of a Fast and Flexible...

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Autors principals:	Peng Wang, Tianman Sun, Yiming Chen, Lihua Ge, Xiaoyi Wang, Liguo Wang
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2024-06-01
Col·lecció:	Remote Sensing
Matèries:	hyperspectral image denoising deep learning sparse observation matrix
Accés en línia:	https://www.mdpi.com/2072-4292/16/12/2071
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