Fast segmentation method for SAR images

Emmanuel Bratsolis; Marc Sigelle

doi:10.1117/12.450351

23 December 2002 Fast segmentation method for SAR images

Emmanuel Bratsolis, Marc Sigelle

Proceedings Volume 4792, Image Reconstruction from Incomplete Data II; (2002) https://doi.org/10.1117/12.450351
Event: International Symposium on Optical Science and Technology, 2002, Seattle, WA, United States

Abstract

An iterative optimization algorithm which can be used for speckle reduction and segmentation of synthetic aperture radar (SAR) images is presented here. This method contains as a first step a fast restoration and as a second one the segmentation. We have worked in 3-look simulated and real ERS-1 amplitude images. The iterative filter is based on a membrane model Markov random field (MRF) approximation optimized by a synchronous local iterative method (SLIM). The final form of restoration gives a total sum preserving regularization (TSPR).

Citation Download Citation

Emmanuel Bratsolis and Marc Sigelle "Fast segmentation method for SAR images", Proc. SPIE 4792, Image Reconstruction from Incomplete Data II, (23 December 2002); https://doi.org/10.1117/12.450351

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