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Proceedings Paper

Simulated annealing algorithm for SAR and MTI image cross section estimation
Author(s): Richard Geoffrey White
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Paper Abstract

In this paper we first review an algorithm which performs radar cross- section estimation by using techniques based on simulated annealing. Standard simulated annealing approaches to image restoration attempt to categorize each image element as belonging to one of a small number of predefined image states or values. This is restrictive for tasks such as radar cross-section estimation and we present here an algorithm which is capable of producing a real-valued output. This is achieved by introducing an edge detection stage into the simulated annealing process. This original cross-section estimation is based on a flat region model. This is extended here to include linear sloping regions. Results using this new model are given and a qualitative comparison drawn with the original flat region model approach.

Paper Details

Date Published: 21 December 1994
PDF: 9 pages
Proc. SPIE 2316, SAR Data Processing for Remote Sensing, (21 December 1994); doi: 10.1117/12.197533
Show Author Affiliations
Richard Geoffrey White, Defence Research Agency Malvern (United Kingdom)

Published in SPIE Proceedings Vol. 2316:
SAR Data Processing for Remote Sensing
Giorgio Franceschetti, Editor(s)

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