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home/Knowledge Base/CODES/Hyperspectral remote sensing/Noise Reduction in Hyperspectral Imagery: Overview and Application

Noise Reduction in Hyperspectral Imagery: Overview and Application

March 28, 2018

Noise Reduction in Hyperspectral Imagery: Overview and Application
Behnood Rasti, Paul Scheunders, Pedram Ghamisi, Giorgio Licciardi and Jocelyn Chanussot

Remote Sensing
DOI: 10.3390/rs10030482
Year: 2018, Volume: 10, Issue: 3, Page: 482

 

Tags:classificationdenoisinghyperspectral imagingimage analysisimage processinginverse problemslow-ranknoise reductionremote sensingrestorationsparse modelingsparsityspectroscopy
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1 .pdf 6.88 MB remotesensing-10-00482-v2
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Categories
  • CODES
    • Anomaly
    • Change Detection
    • Classification of Hyperspectral Images
    • Classification of Remote Sensing Data
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    • Super Resolution
    • Synthetic Aperture Radar and Radar Sounder
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    • Tensor
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  Tensor Low-Rank Constraint and l0 Total Variation for Hyperspectral Image Mixed Noise Removal

Multigraph-Based Low-Rank Tensor Approximation for Hyperspectral Image Restoration  

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