Title
Fusion of hyperspectral and multispectral images using spectral unmixing and sparse coding Fusion of hyperspectral and multispectral images using spectral unmixing and sparse coding
Author
Faculty/Department
Faculty of Sciences. Physics
Publication type
article
Publication
Piscataway :Ieee-inst electrical electronics engineers inc ,
Subject
Economics
Physics
Engineering sciences. Technology
Source (journal)
IEEE journal of selected topics in applied earth observation and remote sensing / IEEE geoscience and remote sensing society; IEEE committee on earth observations. - New York (N.Y.)
Volume/pages
9(2016) :6 , p. 2377-2389
ISSN
1939-1404
ISI
000379935100024
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
Unlike multispectral (MSI) and panchromatic (PAN) images, generally the spatial resolution of hyperspectral images (HSI) is limited, due to sensor limitations. In many applications, HSI with a high spectral as well as spatial resolution are required. In this paper, a new method for spatial resolution enhancement of a HSI using spectral unmixing and sparse coding (SUSC) is introduced. The proposed method fuses high spectral resolution features from the HSI with high spatial resolution features from an MSI of the same scene. Endmembers are extracted from the HSI by spectral unmixing, and the exact location of the endmembers is obtained from the MSI. This fusion process by using spectral unmixing is formulated as an ill-posed inverse problem which requires a regularization term in order to convert it into a well-posed inverse problem. As a regularizer, we employ sparse coding (SC), for which a dictionary is constructed using high spatial resolution MSI or PAN images from unrelated scenes. The proposed algorithm is applied to real Hyperion and ROSIS datasets. Compared with other state-of-the-art algorithms based on pansharpening, spectral unmixing, and SC methods, the proposed method is shown to significantly increase the spatial resolution while perserving the spectral content of the HSI.
Full text (open access)
https://repository.uantwerpen.be/docman/irua/29a383/134279.pdf
E-info
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