ICIP 2006, Atlanta, GA
 

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Paper:WP-P6.4
Session:Remote Sensing Imaging and Processing
Time:Wednesday, October 11, 14:20 - 17:00
Presentation: Poster
Title: VARIATIONAL UNSUPERVISED SEGMENTATION OF MULTI-LOOK COMPLEX POLARIMETRIC IMAGES USING A WISHART OBSERVATION MODEL
Authors: Ismail Ben Ayed; INRS-EMT 
 Amar Mitiche; INRS-EMT 
 Ziad Belhadj; Cite Technologique des Communications 
Abstract: We address unsupervised variational segmentation of multi-look complex polarimetric images using a Wishart observation model via level sets. The methods consists of minimizing a functional containing an original data term derived from maximum likelihood Wishart approximation and a classical boundary length prior. The minimization is carried out efficiently by first order expansion of the data term and a new multiphase method which embeds a simple partition constraint directly in curve evolution. Results are shown on both synthetic and real images. Quantitative performance evaluation and comparisons with another method are also given.