Jointly sparse fusion of hyperspectral and multispectral imagery

Author

Grohnfeldt, Claas ; Xiao Xiang Zhu ; Bamler, Richard

Author_Institution

Remote Sensing Technol. Inst. (IMF), German Aerosp. Center (DLR), Wessling, Germany

fYear

2013

fDate

21-26 July 2013

Firstpage

4090

Lastpage

4093

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 presented.

Keywords

correlation theory; geophysical image processing; hyperspectral imaging; image fusion; image resolution; spectral analysis; J-SparseFI data fusion method; adjacent hyperspectral channel; airborne HySpex hyperspectral data; hyperspectral image fusion; hyperspectral imagery; image resolution; joint sparse fusion; multispectral image fusion; multispectral imagery; signal correlation; synthesized WorldView-2 imagery; Abstracts; Correlation; Image resolution; Indexes; Minimization; Sea measurements; Sparse matrices; HySpex; J-SparseFI; data fusion; distributed compressive sensing; hyperspectral resolution enhancement; joint sparsity;

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.2013.6723732

Filename

6723732