Paper
21 December 1994 Simulated annealing algorithm for SAR and MTI image cross section estimation
Richard Geoffrey White
Author Affiliations +
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Richard Geoffrey White "Simulated annealing algorithm for SAR and MTI image cross section estimation", Proc. SPIE 2316, SAR Data Processing for Remote Sensing, (21 December 1994); https://doi.org/10.1117/12.197533
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Cited by 9 scholarly publications.
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KEYWORDS
Radar

Algorithms

Synthetic aperture radar

Speckle

Edge detection

Statistical modeling

Image processing algorithms and systems

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