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XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05)
Polarimetric SAR Region Boundary Detection Using B-Spline Deformable Countours under the G^H Model
Natal, Rio Grande do Norte, Brazil
October 09-October 12
ISBN: 0-7695-2389-7
ASCII Text
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Juliana Gambini, Marta E. Mejail, Julio Jacobo-Berlles, Alejandro C. Frery, "Polarimetric SAR Region Boundary Detection Using B-Spline Deformable Countours under the G^H Model," Graphics, Patterns and Images, SIBGRAPI Conference on, pp. 197-204, XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05), 2005.
 
 
BibTex
x
 
@article{ 10.1109/SIBGRAPI.2005.39,
author = {Juliana Gambini and Marta E. Mejail and Julio Jacobo-Berlles and Alejandro C. Frery},
title = {Polarimetric SAR Region Boundary Detection Using B-Spline Deformable Countours under the G^H Model},
journal ={Graphics, Patterns and Images, SIBGRAPI Conference on},
volume = {0},
year = {2005},
issn = {1530-1834},
pages = {197-204},
doi = {http://doi.ieeecomputersociety.org/10.1109/SIBGRAPI.2005.39},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Graphics, Patterns and Images, SIBGRAPI Conference on
TI - Polarimetric SAR Region Boundary Detection Using B-Spline Deformable Countours under the G^H Model
SN - 1530-1834
SP197
EP204
A1 - Juliana Gambini,
A1 - Marta E. Mejail,
A1 - Julio Jacobo-Berlles,
A1 - Alejandro C. Frery,
PY - 2005
KW - null
VL - 0
JA - Graphics, Patterns and Images, SIBGRAPI Conference on
ER -
 
Juliana Gambini, Universidad de Buenos Aires
Marta E. Mejail, Universidad de Buenos Aires
Julio Jacobo-Berlles, Universidad de Buenos Aires
Alejandro C. Frery, Universidade Federal de Alagoas

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

Citation:
Juliana Gambini, Marta E. Mejail, Julio Jacobo-Berlles, Alejandro C. Frery, "Polarimetric SAR Region Boundary Detection Using B-Spline Deformable Countours under the G^H Model," sibgrapi, pp.197-204, XVIII Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI'05), 2005
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