Knowledge-based methods for small-object detection in SAR images

David W. Greig; Mark Denny

doi:10.1117/12.463054

7 March 2003 Knowledge-based methods for small object detection in SAR images

David W. Greig, Mark Denny

Proceedings Volume 4883, SAR Image Analysis, Modeling, and Techniques V; (2003) https://doi.org/10.1117/12.463054
Event: International Symposium on Remote Sensing, 2002, Crete, Greece

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.

Citation Download Citation

David W. Greig and Mark Denny "Knowledge-based methods for small object detection in SAR images", Proc. SPIE 4883, SAR Image Analysis, Modeling, and Techniques V, (7 March 2003); https://doi.org/10.1117/12.463054

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