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Panchromatic sharpening of multispectral satellite imagery via an explicitly defined convex self-similarity regularization
Chia Hsiang Wang
, Chia Hsiang Lin
, José M. Bioucas Dias
, Wei Cheng Zheng
,
Kuo Hsin Tseng
太空及遙測研究中心
土木工程學系
水文與海洋科學研究所
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引文 斯高帕斯(Scopus)
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Keyphrases
Multispectral Satellite Images
100%
Self-similarity
100%
Panchromatic Sharpening
100%
Similarity Regularization
100%
Pansharpening
60%
Regularizer
40%
Remote Sensing
20%
Multispectral Image
20%
Convexity
20%
Panchromatic Image
20%
Weighted Graph
20%
Natural Images
20%
Spatial Details
20%
Customized Algorithm
20%
Denoiser
20%
Criteria Design
20%
Proximal Operator
20%
Convex Optimization Theory
20%
Satellite Imaging
20%
Convergence Guarantee
20%
Regularized Inverse Problem
20%
Imaging Inverse Problems
20%
Computer Science
Regularization
100%
Inverse Problem
100%
Multispectral Image
50%
Optimization Theory
50%
Formalization
50%
Design Criterion
50%
weighted graph
50%
Convex Optimization
50%
Spatial Detail
50%
Panchromatic Image
50%
Engineering
Regularization
100%
Similarities
100%
Design Criterion
20%
One Step
20%
Panchromatic Image
20%
Multispectral Image
20%
Natural Image
20%
Spatial Detail
20%
Mathematics
Regularization
100%
Self-Similarity
100%
Natural Image
20%
weighted graph
20%
Formalization
20%