5 February 2004 Mean field relaxation and SAR image segmentation
Author Affiliations +
Abstract
A method for speckle reduction and segmentation of synthetic aperture radar (SAR) images is presented here. As a first step we consider a preclassification to a specific number of labels (classes). The second step (final classificatio) is the relaxation labeling process. The method can be considered as a fast unsupervised technique. We have worked in 3-look simulated and real ERS-1 amplitude images.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emmanuel Bratsolis, Emmanuel Bratsolis, Marc Sigelle, Marc Sigelle, } "Mean field relaxation and SAR image segmentation", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); doi: 10.1117/12.510733; https://doi.org/10.1117/12.510733
PROCEEDINGS
10 PAGES


SHARE
RELATED CONTENT

GPU efficient SAR image despeckling using mixed norms
Proceedings of SPIE (October 14 2014)
Segmentation of small vehicle targets in SAR images
Proceedings of SPIE (July 24 2002)
Fast stereo matching under varying illumination
Proceedings of SPIE (May 03 2012)
Optimum texture analysis of SAR images
Proceedings of SPIE (June 08 1994)
Multitemporal change detection for SAR imagery
Proceedings of SPIE (December 09 1999)
Optimal processing techniques for SAR
Proceedings of SPIE (December 03 1998)

Back to Top