By Topic

SAR Image Segmentation using a Fast Level Set Technique

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $31
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Mejail, Marta ; Universidad de Buenos Aires, Departamento de Computación, Ciudad Universitaria, Pab. I, 1428 Buenos Aires, República Argentina ; Gambini, Juliana ; Goussies, Norberto ; Buemi, Maria E.
more authors

In this work we propose a level set method in order to automatically outline the boundaries between regions, characterized by SAR data with different statistical parameters. Level set methods are a powerful image segmentation technique and have advantages over parametric models. In order to reduce the computational cost involved in this technique a fast level set algorithm is used. It consists of evolving a curve or a set of curves simultaneously by computing operations, such as switching elements between two linked lists, that are simpler than solving partial differential equations. We propose a filtering procedure based on the G0 statistical model, as a criterion for multiple region segmentation. This techniques are applied on real SAR images.

Published in:

Synthetic Aperture Radar (EUSAR), 2008 7th European Conference on

Date of Conference:

2-5 June 2008