Sparse representing denoising of hyperspectral data for water color remote sensing

HIGHLIGHTS

• who: Yulong Guo and colleagues from the College of the Resources and Environmental Sciences, Henan Agricultural University, Henan Agricultural University, Zhengzhou, China have published the article: Sparse Representing Denoising of Hyperspectral Data for Water Color Remote Sensing, in the Journal: (JOURNAL) of 26/07/2022
• what: The authors focus on 1-D methods, which can be applied to both field-measured and remotely sensed hyperspectral Rrs data. In this study, to keep the universality with high accuracy of the model, the authors introduced a bio-optical model-a radiative transfer model in the water body . . .
  

   

  

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