NDLI: Contextual high-resolution image classification by Markovian data fusion, adaptive texture extraction, and multiscale segmentation

Content Provider	IEEE Xplore Digital Library
Author	Moser, G. Serpico, S.B.
Copyright Year	2011
Description	Author affiliation: University of Genoa, Dept. of Biophysical and Electronic Eng. (DIBE), Via Opera Pia 11a, I-16145 (Italy) (Moser, G.; Serpico, S.B.)
Abstract	Spatial-contextual classification methods based either on stochastic Markov random field (MRF) models, on texture analysis, or on region-based processing are important tools for high-resolution multispectral image analysis. In this paper, a novel supervised classification technique is proposed, that integrates the MRF, texture-based, and region-based approaches to contextual image classification in a unique multiscale framework. A previous method, based on the combination of MRFs with multiscale segmentation, is generalized and integrated with the multivariate semivariogram approach to texture analysis. In order to minimize the impact of texture-extraction artifacts at the spatial edges between different classes, an adaptive semivariogram-estimation technique is also developed and iteratively incorporated in the proposed classifier. Experiments are presented with IKONOS images.
Starting Page	1155
Ending Page	1158
File Size	462806
Page Count	4
File Format	PDF
ISBN	9781457710032
ISSN	21537003
e-ISBN	9781457710056
DOI	10.1109/IGARSS.2011.6049402
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-24
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Markov processes Feature extraction Image segmentation Support vector machines Accuracy Image edge detection Remote sensing multivariate semivariogram. High resolution image classification Markov random fields multiscale segmentation adaptive texture extraction
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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