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Author Gambini, J. ♦ Mejail, M.E. ♦ Jacobo-Berlles, J. ♦ Frery, A.C.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2005
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Spline ♦ Deformable models ♦ Image segmentation ♦ Random variables ♦ Jacobian matrices ♦ Polarimetric synthetic aperture radar ♦ Synthetic aperture radar ♦ Radar detection ♦ Data mining ♦ Curve fitting
Abstract In this paper a new approach to polarimetric Synthetic Aperture Radar (SAR) image region boundary detection is presented. It is based on a new model for polarimetric SAR data and the use of B-Spline active contours for image segmentation. In order to detect the boundary for a region, an initial B-Spline curve is specified and the proposed algorithm uses a deformable contours technique to find the boundary. In doing this, the statistical parameters of the polarimetric G^H model for the data are estimated, in order to find the transition points between the region being segmented and the surrounding area. This algorithm can be regarded as a local one, in the sense that it works on the region to be segmented instead of on the whole image
Description Author affiliation: Universidad de Buenos Aires (Gambini, J.)
ISBN 0769523897
ISSN 15301834
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2005-10-09
Publisher Place Brazil
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Size (in Bytes) 792.84 kB
Page Count 8
Starting Page 197
Ending Page 204


Source: IEEE Xplore Digital Library