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The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by researchers from the Department of Computer & Information Sciences involved in mathematically structured programming, similarity and metric search, computer security, software systems, combinatronics and digital health.

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A location scale based CFAR detection framework for FOPEN SAR images

Liguori, Marco and Izzo, Alessio and Clemente, Carmine and Galdi, Carmela and Di Bisceglie, Maurizio and Soraghan, John J. (2015) A location scale based CFAR detection framework for FOPEN SAR images. In: 5th Conference of the Sensor Signal Processing for Defence, 2015-07-09 - 2015-07-10, Royal College of Physicians of Edinburgh.

Text (Liguori-etal-SSPD2015-location-scale-based-CFAR-detection-framework-FOPEN-SAR-images)
Liguori_etal_SSPD2015_location_scale_based_CFAR_detection_framework_FOPEN_SAR_images.pdf - Accepted Author Manuscript

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The problem of target detection in a complex clutter environment, with Constant False Alarm Ratio (CFAR), is addressed in this paper. In particular an algorithm for CFAR target detection is applied to the context of FOliage PENetrating (FOPEN) Synthetic Aperture Radar (SAR) imaging. The extreme value distributions family is used to model the data and exploiting the location-scale property of this family of distributions, a multi-model CFAR algorithm is derived. Performance analysis on real data confirms the capability of the developed framework to control the false alarm probability.