Sub-Pixel Mapping Model Based on Total Variation Regularization and Learned Spatial Dictionary

Sub-Pixel Mapping Model Based on Total Variation Regularization and Learned Spatial Dictionary

In this research study, we deal with remote sensing data analysis over high dimensional space formed by hyperspectral images. This task is generally complex due to the large spectral, spatial richness, and mixed pixels. Thus, several spectral un-mixing methods have been proposed to discriminate mixi...

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Bibliographic Details
Main Authors: Bouthayna Msellmi, Daniele Picone, Zouhaier Ben Rabah, Mauro Dalla Mura, Imed Riadh Farah
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Remote Sensing
Subjects:
hyperspetral image
mixed pixel
spectral un-mixing
inverse problem
sub-pixel mapping
K-SVD dictionary learning
Online Access:https://www.mdpi.com/2072-4292/13/2/190

Internet

https://www.mdpi.com/2072-4292/13/2/190

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