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

Author

Dambra, C. ; Monti, Paolo ; Pagliughi, Alberto ; Regazzoni, Carlo

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

fYear

1992

Firstpage

551

Lastpage

554

Abstract

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

Keywords

edge detection; filtering and prediction theory; image reconstruction; image segmentation; synthetic aperture radar; SAR images; deterministic algorithm; edge extraction; mean-field annealing; observation-prediction model; piecewise-constant patches; probability distribution; real images; speckle noise; stochastic model; synthetic aperture radar; synthetic images; time-invariant filtering; weak membrane model; Computational efficiency; Computational modeling; Filtering; Image restoration; Image segmentation; Probability distribution; Simulated annealing; Speckle; Stochastic resonance; Synthetic aperture radar;

fLanguage

English

Publisher

ieee

Conference_Titel

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

Conference_Location

Victoria, BC

Print_ISBN

0-7803-0805-0

Type

conf

DOI

10.1109/TFTSA.1992.274119

Filename

274119