Multi-model CFAR detection in FOliage PENetrating SAR images

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Izzo, Alessio and Liguori, Marco and Clemente, Carmine and Galdi, Carmelo and Di Bisceglie, Maurizio and Soraghan, John J. (2017) Multi-model CFAR detection in FOliage PENetrating SAR images. IEEE Transactions on Aerospace and Electronic Systems, 53 (4). pp. 1769-1780. ISSN 0018-9251 (https://doi.org/10.1109/TAES.2017.2672018)

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Abstract

A multi-model approach for Constant False Alarm Ratio (CFAR) detection of vehicles through foliage in FOliage PENetrating (FOPEN) SAR images is presented. Extreme value distributions and Location Scale properties are exploited to derive an adaptive CFAR approach that is able to cope with different forest densities. Performance analysis on real data is carried out to estimate the detection and false alarm probabilities in the presence of a ground truth.

ORCID iDs

Izzo, Alessio ORCID logoORCID: https://orcid.org/0000-0001-6009-8757, Liguori, Marco, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, Galdi, Carmelo, Di Bisceglie, Maurizio and Soraghan, John J. ORCID logoORCID: https://orcid.org/0000-0003-4418-7391;
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