Multi-polarization SAR change detection: unstructured versus structured GLRT

Vincenzo Carotenuto, Carmine Clemente, Antonio De Maio, John Soraghan, Salvatore Iommelli

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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.
Original languageEnglish
Title of host publication2014 Sensor Signal Processing for Defence (SSPD)
Subtitle of host publicationConference 2014
PublisherIEEE
Pages56-60
Number of pages5
ISBN (Print)978-1-4799-5294-6
Publication statusPublished - 2014
Event2014 Sensor Signal Processing for Defence - Scotland, Edinburgh, United Kingdom
Duration: 8 Sep 20149 Sep 2014

Conference

Conference2014 Sensor Signal Processing for Defence
CountryUnited Kingdom
CityEdinburgh
Period8/09/149/09/14

Keywords

  • SAR imaging
  • change detection
  • generalized likelihood ratio test

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  • Cite this

    Carotenuto, V., Clemente, C., De Maio, A., Soraghan, J., & Iommelli, S. (2014). Multi-polarization SAR change detection: unstructured versus structured GLRT. In 2014 Sensor Signal Processing for Defence (SSPD): Conference 2014 (pp. 56-60). IEEE.