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An Optimal Approach to SAR Image Segmentation and Classification
Cite this paper as:
David Stewart, David Blacknell, Alan Blake, Rod Cook and Chris Oliver,
`An optimal approach to SAR image segmentation and classification',
IEE Proc. Radar, Sonar and Navigation , (to appear).
Abstract
Many algorithms have been proposed for the segmentation and classification of SAR
imagery. Typically these are heuristic in basis, and more successful on some types
of data than others. Methods based on global optimisation techniques can achieve
the optimal solution to the posed problem: the algorithm is then characterised by an
objective function and the chosen optimisation technique.
We construct here an appropriate objective function for SAR segmentation or
classification, and show how to optimally quantify the relationship between the
competing terms within it.
This removes the previous need for the introduction of heuristics.
Also described is an implementation based on simulated annealing, in which
considerable attention has been paid to details, and examples of the resulting
algorithm's performance on real data.
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