NDLI: SVM- and MRF-Based Method for Accurate Classification of Hyperspectral Images

Content Provider	IEEE Xplore Digital Library
Author	Tarabalka, Y. Fauvel, M. Chanussot, J. Benediktsson, J.A.
Copyright Year	2004
Abstract	The high number of spectral bands acquired by hyperspectral sensors increases the capability to distinguish physical materials and objects, presenting new challenges to image analysis and classification. This letter presents a novel method for accurate spectral-spatial classification of hyperspectral images. The proposed technique consists of two steps. In the first step, a probabilistic support vector machine pixelwise classification of the hyperspectral image is applied. In the second step, spatial contextual information is used for refining the classification results obtained in the first step. This is achieved by means of a Markov random field regularization. Experimental results are presented for three hyperspectral airborne images and compared with those obtained by recently proposed advanced spectral-spatial classification techniques. The proposed method improves classification accuracies when compared to other classification approaches.
Sponsorship	IEEE Geoscience and Remote Sensing Society
Starting Page	736
Ending Page	740
Page Count	5
File Size	349970
File Format	PDF
ISSN	1545598X
Volume Number	7
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Hyperspectral imaging Hyperspectral sensors Support vector machines Support vector machine classification Markov random fields Image classification Layout Senior members Image analysis Pixel support vector machine (SVM) Classification hyperspectral images Markov random field (MRF)
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology

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