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Proceedings Paper

Comparison of segmentation methods with standard CFAR for point target detection
Author(s): Ian McConnell; Christopher John Oliver
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Paper Abstract

The paper considers the problem of detecting point-like targets in SAR imagery. We review the theory of constant false alarm rate (CFAR) detection, but note that on real SAR images CFAR performance is limited in two respects: (1) Inhomogeneities in the background cause a marked increasing in the false alarm rate. (2) As the target may only subtend a few pixels, we can only reduce the uncertainty introduced by speckle by increasing the size of the background region. We suggest that these problems can be overcome by using segmentation as a method for obtaining optimal background regions and verify this with experiment.

Paper Details

Date Published: 20 November 1998
PDF: 12 pages
Proc. SPIE 3497, SAR Image Analysis, Modeling, and Techniques, (20 November 1998); doi: 10.1117/12.331364
Show Author Affiliations
Ian McConnell, N.A. Software (United Kingdom)
Christopher John Oliver, Defence and Evaluation Research Agency Malvern (United Kingdom)


Published in SPIE Proceedings Vol. 3497:
SAR Image Analysis, Modeling, and Techniques
Francesco Posa, Editor(s)

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