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Dokumenttyp:
Konferenzbeitrag 
Autor(en):
Zhu, Xiao Xiang; Spiridonova, S.; Bamler, R. 
Titel:
A {Pan}-{Sharpening} {Algorithm} {Based} on {Joint} {Sparsity} 
Abstract:
Recently sparse signal representation of image patches was explored to solve the pan-sharpening problem. Although the proposed sparse reconstruction based methods lead to motivating results, yet none of them has considered the fact that the information contained in different multispectral channels may be mutually correlated. In this paper, we extend the Sparse Fusion of Images (SparseFI, pronounced “sparsify”) algorithm, proposed by the authors before, to a Jointly Sparse Fusion of Images (J-Spa...    »
 
Stichworte:
Image reconstruction, Remote sensing, compressed sensing, image fusion, J-SparseFI algorithm, UltraCam data, image patches, multispectral channels, pan-sharpening problem, sparse signal representation, Joints, Joint Sparsity, DCS theory, distributed compressive sensing, image sparse fusion, pan-sharpening algorithm, Correlation, Dictionaries, image representation 
Kongress- / Buchtitel:
2012 {Tyrrhenian} {Workshop} on {Advances} in {Radar} and {Remote} {Sensing} ({TyWRRS}) 
Kongress / Zusatzinformationen:
00003 
Jahr:
2012 
Monat:
sep 
Seiten:
177--184 
Reviewed:
ja