DocumentCode :
677540
Title :
Collaborative sparse reconstruction for pan-sharpening
Author :
Xiao Xiang Zhu ; Grohnfeldt, Claas ; Bamler, Richard
Author_Institution :
Remote Sensing Technol. Inst., German Aerosp. Center, Wessling, Germany
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
868
Lastpage :
871
Abstract :
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-SparseFI) algorithm by exploiting the possible signal structural correlations between different multispectral channels. The algorithm is evaluated using airborne UltraCam data. The superior performance of the proposed methods has been demonstrated by a statistic assessment. Moreover, first experimental result using airborne HySpex hyperspectral data is presented.
Keywords :
geophysical image processing; image fusion; image reconstruction; J-SparseFI algorithm; airborne HySpex hyperspectral data; airborne UltraCam data evaluation; collaborative sparse reconstruction; jointly sparse fusion of image algorithm; multispectral channel; pan-sharpening; signal structural correlation; statistic assessment; Dictionaries; Image reconstruction; Joints; Remote sensing; Sensors; Spatial resolution; HySpex; J-SparseFI; Joint Sparsity; Pan-Sharpening; SparseFI;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721297
Filename :
6721297
Link To Document :
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