Multi-polarization SAR change detection with invariant decision rules

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

3 Citations (Scopus)


This paper deals with coherent multi-polarization SAR change detection assuming the availability of reference and test images collected from N multiple polarimetric channels. At the design stage, the change detection problem is formulated as a binary hypothesis testing problem and the principle of invariance is used to come up with decision rules sharing the Constant False Alarm Rate (CFAR) property. A class of suboptimum invariant receivers, which also includes the Generalized Likelihood Ratio Test (GLRT), is considered. Detection maps on real high resolution SAR data are computed showing the effectiveness of the considered invariant decision structures.

Original languageEnglish
Title of host publication2014 IEEE Radar Conference
Pages0859 - 0862
Number of pages4
ISBN (Print)978-1-4799-2034-1
Publication statusPublished - May 2014
Event2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States
Duration: 19 May 201423 May 2014


Conference2014 IEEE Radar Conference, RadarCon 2014
Country/TerritoryUnited States
CityCincinnati, OH


  • radar detection
  • radar polarimetry
  • synthetic aperture radar
  • detection maps


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