Sparse Representing Denoising of Hyperspectral Data for Water Color Remote Sensing

Hyperspectral data are important for water color remote sensing. The inevitable noise will devalue its application. In this study, we developed a 1-D denoising method for water hyperspectral data, based on sparse representing. The denoising performance was compared with three commonly used methods i...

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Autors principals:	Yulong Guo, Qingsheng Bi, Yuan Li, Chenggong Du, Junchang Huang, Weiqiang Chen, Lingfei Shi, Guangxing Ji
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-07-01
Col·lecció:	Applied Sciences
Matèries:	hyperspectral denoising water color remote sensing sparse representing bio-optical model
Accés en línia:	https://www.mdpi.com/2076-3417/12/15/7501
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