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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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Principais autores: Yulong Guo, Qingsheng Bi, Yuan Li, Chenggong Du, Junchang Huang, Weiqiang Chen, Lingfei Shi, Guangxing Ji
פורמט: Artigo
שפה:Inglês
יצא לאור: MDPI AG 2022-07-01
סדרה:Applied Sciences
נושאים:
hyperspectral
denoising
water color remote sensing
sparse representing
bio-optical model
גישה מקוונת:https://www.mdpi.com/2076-3417/12/15/7501
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