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Technical Program
Paper Detail
| Paper: | WP-P6.4 |
| Session: | Remote Sensing Imaging and Processing |
| Time: | Wednesday, October 11, 14:20 - 17:00 |
| Presentation: |
Poster
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| 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. |
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