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Proceedings Paper

Knowledge-based methods for small-object detection in SAR images
Author(s): David W. Greig; Mark Denny
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Paper Abstract

Various techniques for detecting anomalous reflective objects that extend a few tens of pixels in a SAR image are discussed. These techniques assume some prior knowledge of the object, to make the detection process robust and minimize false alarms. The basis of the method is a CFAR technique that assumes Weibull clutter statistics. The method is then augmented using knowledge of the shadow cast by the object, change detection, and information from terrain databases. Examples using a simulated SAR image are given.

Paper Details

Date Published: 7 March 2003
PDF: 10 pages
Proc. SPIE 4883, SAR Image Analysis, Modeling, and Techniques V, (7 March 2003); doi: 10.1117/12.463054
Show Author Affiliations
David W. Greig, BAE SYSTEMS (United Kingdom)
Mark Denny, BAE SYSTEMS (United Kingdom)


Published in SPIE Proceedings Vol. 4883:
SAR Image Analysis, Modeling, and Techniques V
Francesco Posa, Editor(s)

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