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Titel:

Exploiting Joint Sparsity for Pansharpening: The J-SparseFI Algorithm

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Zhu, Xiao Xiang; Grohnfeldt, Claas; Bamler, Richard
Stichworte:
compressed sensing; geophysical techniques; remote sensing; HySpex hyperspectral imagery; J-SparseFI algorithm; WorldView-2-like images; channel mutual correlation analysis; distributed compressive sensing theory; joint sparsity; joint sparsity model; multispectral channels; multispectral image cover; mutually correlated information; panchromatic image; pansharpening problem; sensor spectral response; sparse image fusion algorithm; sparse-reconstruction-based methods; Correlation; Image fusion;...     »
Zeitschriftentitel:
IEEE Transactions on Geoscience and Remote Sensing
Jahr:
2016
Band / Volume:
54
Monat:
May
Heft / Issue:
5
Seitenangaben Beitrag:
2664-2681
Volltext / DOI:
doi:10.1109/TGRS.2015.2504261
Print-ISSN:
0196-2892
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