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Time-invariant filtering and segmentation of SAR images by using mean-field annealing

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4 Author(s)
Dambra, C. ; Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy ; Monti, P. ; Pagliughi, A. ; Regazzoni, C.

A stochastic model for restoration of and edge extraction from synthetic aperture radar (SAR) images is presented. This model is based on an observation-prediction model which favors the restoration of piecewise-constant patches separated by long continuous edges. Speckle noise is filtered out by means of an a-priori fixed probability distribution dependent on the number of views. Results on synthetic and real images are reported. To reduce the computational cost, simulated annealing is replaced with a deterministic algorithm based on the weak membrane model and on the mean field equations adapted to SAR

Published in:

Time-Frequency and Time-Scale Analysis, 1992., Proceedings of the IEEE-SP International Symposium

Date of Conference:

4-6 Oct 1992