Multi-polarization SAR change detection : unstructured versus structured GLRT

Carotenuto, Vincenzo and Clemente, Carmine and De Maio, Antonio and Soraghan, John and Iommelli, Salvatore; (2014) Multi-polarization SAR change detection : unstructured versus structured GLRT. In: 2014 Sensor Signal Processing for Defence (SSPD). IEEE, GBR, pp. 56-60. ISBN 978-1-4799-5294-6

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Abstract

The problem of coherent multi-polarization SAR change detection exploiting data collected from N multiple polarimetric channels, is addressed in this paper. The change detection problem is formulated as a binary hypothesis testing problem and a special block-diagonal structure for the polarimetric covariance matrix is forced to design a novel detector based on the Generalized Likelihood Ratio Test criterion. It is shown that the new decision rule ensures the Constant False Alarm Rate (CFAR) property. At the analysis stage, results on both simulated and real high resolution SAR data show the effectiveness of the proposed decision rule and its superiority against the traditional unstructured GLRT in some scenarios of practical interest.

ORCID iDs

Carotenuto, Vincenzo, Clemente, Carmine ORCID logoORCID: https://orcid.org/0000-0002-6665-693X, De Maio, Antonio, Soraghan, John ORCID logoORCID: https://orcid.org/0000-0003-4418-7391 and Iommelli, Salvatore;
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