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Author(s):
Grohnfeldt, Claas; Zhu, Xiao Xiang; Bamler, Richard 
Title:
The J-SparseFI-HM Hyperspectral Resolution Enhancement Method – Now Fully Automated 
Abstract:
In this paper we apply the recently proposed J-{SparseFI} data fusion method to the fusion of a low-resolution hyperspectral image and a high-resolution multispectral image. The high correlation of signals in adjacent hyperspectral channels is exploited by assuming signals in different channels are jointly sparse in suitable dictionaries that are created from the multispectral image. First experimental results using airborne {HySpex} hyperspectral data and synthesized {WorldView}-2 imagery are p...    »
 
Keywords:
Abstracts, adjacent hyperspectral channel, airborne {HySpex} hyperspectral data, Correlation, correlation theory, data fusion, distributed compressive sensing, geophysical image processing, hyperspectral image fusion, hyperspectral imagery, hyperspectral imaging, hyperspectral resolution enhancement, {HySpex}, image fusion, image resolution, Indexes, joint sparse fusion, Joint Sparsity, J-{SparseFI}, J-{SparseFI} data fusion method, Minimization, multispectral image fusion, multispectral imagery...    »
 
Journal title:
Proceedings of the 6th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS) 
Year:
2014 
Notes:
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