A location scale based CFAR detection framework for FOPEN SAR images

Marco Liguori, Alessio Izzo, Carmine Clemente, Carmela Galdi, Maurizio Di Bisceglie, John J. Soraghan

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Abstract

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.
Original languageEnglish
Pages1-5
Number of pages5
DOIs
Publication statusPublished - 10 Jul 2015
Event5th Conference of the Sensor Signal Processing for Defence - Royal College of Physicians of Edinburgh, Edinburgh, United Kingdom
Duration: 9 Jul 201510 Jul 2015
http://www.sspd.eng.ed.ac.uk/conference-archive/2015

Conference

Conference5th Conference of the Sensor Signal Processing for Defence
Abbreviated titleSSPD 2015
CountryUnited Kingdom
CityEdinburgh
Period9/07/1510/07/15
Internet address

Keywords

  • radar clutter
  • radar detection
  • radar imaging
  • synthetic aperture radar
  • vegetation
  • algorithm design and analysis
  • Weibull distribution
  • detectors

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    Liguori, M., Izzo, A., Clemente, C., Galdi, C., Di Bisceglie, M., & Soraghan, J. J. (2015). A location scale based CFAR detection framework for FOPEN SAR images. 1-5. Paper presented at 5th Conference of the Sensor Signal Processing for Defence , Edinburgh, United Kingdom. https://doi.org/10.1109/SSPD.2015.7288497