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Endmember extraction using a combination of orthogonal projection and genetic algorithm


Rezaei, Y; Mobasheri, M R; Zoej, M J V; Schaepman, M E (2012). Endmember extraction using a combination of orthogonal projection and genetic algorithm. Geoscience and Remote Sensing Letters, 9(2):161-165.

Abstract

Common endmember extraction algorithms presume that the number of materials present is either known or may be predetermined by using spectral databases or other approaches. In this letter, we propose a new method called genetic orthogonal projection (GOP) for endmember extraction in imaging spectrometry. GOP is based on a fully unsupervised approach and uses convex geometric characteristics as well as a genetic algorithm. We compare GOP with existing endmember extraction algorithms and demonstrate that GOP partially outperforms them, without the need of a priori information.

Abstract

Common endmember extraction algorithms presume that the number of materials present is either known or may be predetermined by using spectral databases or other approaches. In this letter, we propose a new method called genetic orthogonal projection (GOP) for endmember extraction in imaging spectrometry. GOP is based on a fully unsupervised approach and uses convex geometric characteristics as well as a genetic algorithm. We compare GOP with existing endmember extraction algorithms and demonstrate that GOP partially outperforms them, without the need of a priori information.

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8 citations in Web of Science®
11 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:2012
Deposited On:02 Apr 2012 09:06
Last Modified:05 Apr 2016 15:33
Publisher:IEEE
ISSN:1545-598X
Publisher DOI:https://doi.org/10.1109/LGRS.2011.2162936

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