Paper
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 and Marc Sigelle "Mean field relaxation and SAR image segmentation", Proc. SPIE 5238, Image and Signal Processing for Remote Sensing IX, (5 February 2004); https://doi.org/10.1117/12.510733
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Synthetic aperture radar

Speckle

Berkelium

Image processing

Magnetism

Algorithms

RELATED CONTENT

Segmentation of small vehicle targets in SAR images
Proceedings of SPIE (July 25 2002)
Fast stereo matching under varying illumination
Proceedings of SPIE (May 03 2012)
Optimum texture analysis of SAR images
Proceedings of SPIE (June 09 1994)
Optimal processing techniques for SAR
Proceedings of SPIE (December 04 1998)
Speckle reduction of SAR images using neural networks
Proceedings of SPIE (November 21 1995)

Back to Top