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Proceedings Paper

Optimal processing techniques for SAR
Author(s): David Stewart; Rod Cook; Ian McConnell; Christopher John Oliver
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Paper Abstract

In the history of SAR image processing, many algorithms have been proposed to tackle the problems of segmentation, classification and edge detection. They are typically heuristic in basis, and more successful on some types of imagery than others. With the development of global optimization methods it has now become possible to produce optimal techniques; that is, those which can genuinely achieve the optimal solution of the posed problem. The problem is characterized by an objective function and the chosen optimization technique. The most successful and wide-spread method has been simulated annealing and we detail its application in the fields of segmentation and classification. In particular, we detail how to optimally quantify the relationship between competing terms within the objective function. The performance of the resulting algorithm on various SAR imagery is given.

Paper Details

Date Published: 4 December 1998
PDF: 8 pages
Proc. SPIE 3500, Image and Signal Processing for Remote Sensing IV, (4 December 1998); doi: 10.1117/12.331883
Show Author Affiliations
David Stewart, N.A. Software (United Kingdom)
Rod Cook, N.A. Software (United Kingdom)
Ian McConnell, N.A. Software (United Kingdom)
Christopher John Oliver, Defence Evaluation and Research Agency Malvern (United Kingdom)

Published in SPIE Proceedings Vol. 3500:
Image and Signal Processing for Remote Sensing IV
Sebastiano Bruno Serpico, Editor(s)

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