Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

Hyperspectral Imagery Super-Resolution by Compressive Sensing Inspired Dictionary Learning and Spatial-Spectral Regularization

Due to the instrumental and imaging optics limitations, it is difficult to acquire high spatial resolution hyperspectral imagery (HSI). Super-resolution (SR) imagery aims at inferring high quality images of a given scene from degraded versions of the same scene. This paper proposes a novel hyperspec...

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Bibliographic Details
Main Authors: Wei Huang, Liang Xiao, Hongyi Liu, Zhihui Wei
Format: Article
Language:English
Published: MDPI AG 2015-01-01
Series:Sensors
Subjects:
compressive sensing
dictionary learning
super-resolution
hyperspectral image
spectral similarity
sparse representation
Online Access:http://www.mdpi.com/1424-8220/15/1/2041

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