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.
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.
|Item type:||Conference or Workshop Item (Paper)|
|Keywords:||radar clutter, radar detection, radar imaging, synthetic aperture radar, vegetation, algorithm design and analysis, Weibull distribution, detectors, Electrical engineering. Electronics Nuclear engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Electrical engineering. Electronics Nuclear engineering|
|Department:||Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset Management
|Depositing user:||Pure Administrator|
|Date Deposited:||24 May 2016 14:21|
|Last modified:||31 Mar 2017 20:10|