Multi-polarization SAR change detection with invariant decision rules

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

2 Citations (Scopus)

Abstract

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.

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

Conference

Conference2014 IEEE Radar Conference, RadarCon 2014
CountryUnited States
CityCincinnati, OH
Period19/05/1423/05/14

Fingerprint

Invariance
Availability
Polarization
Testing

Keywords

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

Cite this

@inproceedings{36fdfee21b034bb3a238b271f554f094,
title = "Multi-polarization SAR change detection with invariant decision rules",
abstract = "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.",
keywords = "radar detection, radar polarimetry, synthetic aperture radar, detection maps",
author = "V. Carotenuto and {De Maio}, A. and C. Clemente and Soraghan, {J. J.}",
year = "2014",
month = "5",
doi = "10.1109/RADAR.2014.6875711",
language = "English",
isbn = "978-1-4799-2034-1",
pages = "0859 -- 0862",
booktitle = "2014 IEEE Radar Conference",
publisher = "IEEE",

}

Carotenuto, V, De Maio, A, Clemente, C & Soraghan, JJ 2014, Multi-polarization SAR change detection with invariant decision rules. in 2014 IEEE Radar Conference. IEEE, pp. 0859 - 0862, 2014 IEEE Radar Conference, RadarCon 2014, Cincinnati, OH, United States, 19/05/14. https://doi.org/10.1109/RADAR.2014.6875711

Multi-polarization SAR change detection with invariant decision rules. / Carotenuto, V.; De Maio, A.; Clemente, C.; Soraghan, J. J.

2014 IEEE Radar Conference. IEEE, 2014. p. 0859 - 0862.

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

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AB - 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.

KW - radar detection

KW - radar polarimetry

KW - synthetic aperture radar

KW - detection maps

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