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A multi-level segmentation methodology for dual-polarized SAR data

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National Technical University of Athens   

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A multi-level segmentation methodology for dual-polarized SAR data (EN)
Dabboor, M (EN)
Karathanassi, V (EN)
Braunc, A (EN)
journalArticle (EN)
2014-03-01T01:34:54Z
2011 (EN)
An innovative methodology for dual-polarized Synthetic Aperture Radar (SAR) data segmentation is proposed. The methodology is based on the thresholding of the 1D-histograms of the two images produced by the dual polarimetric bands. Thresholding of the histograms is performed using a nonparametric algorithm. Histograms after thresholding are combined together in a two dimensional histogram-based space in order to define sub-spaces, which are used for image segmentation. Sub-spaces are further divided based on two criteria which lead to a multi-level segmentation approach. Dual-polarized TerraSAR-X data, both HH and VV, are used in a study area located in the southwestern United Kingdom. (C) 2011 Elsevier B.V. All rights reserved. (EN)
Remote Sensing (EN)
histogram (EN)
image processing (EN)
synthetic aperture radar (EN)
Histogram (EN)
Dual-polarized SAR (EN)
Polarimetric SAR (EN)
TerraSAR-X (EN)
Multi-level segmentation (EN)
United Kingdom (EN)
threshold (EN)
image analysis (EN)
algorithm (EN)
International Journal of Applied Earth Observation and Geoinformation (EN)
English
ELSEVIER SCIENCE BV (EN)
National Technical University of Athens
Digital Library of National Technical University of Athens | Dspace@NTUA
Κεντρική Βιβλιοθήκη Ε.Μ.Π.
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