Multi-polarization SAR change detection with invariant decision rules

V. Carotenuto; A. De Maio; C. Clemente; J. J. Soraghan

doi:10.1109/RADAR.2014.6875711

Multi-polarization SAR change detection with invariant decision rules

V. Carotenuto, A. De Maio, C. Clemente, J. J. Soraghan

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

3 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.

Original language	English
Title of host publication	2014 IEEE Radar Conference
Publisher	IEEE
Pages	0859 - 0862
Number of pages	4
ISBN (Print)	978-1-4799-2034-1
DOIs	https://doi.org/10.1109/RADAR.2014.6875711
Publication status	Published - May 2014
Event	2014 IEEE Radar Conference, RadarCon 2014 - Cincinnati, OH, United States Duration: 19 May 2014 → 23 May 2014

Conference

Conference	2014 IEEE Radar Conference, RadarCon 2014
Country/Territory	United States
City	Cincinnati, OH
Period	19/05/14 → 23/05/14

Keywords

radar detection
radar polarimetry
synthetic aperture radar
detection maps

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10.1109/RADAR.2014.6875711

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@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 = may,

doi = "10.1109/RADAR.2014.6875711",

language = "English",

isbn = "978-1-4799-2034-1",

pages = "0859 -- 0862",

booktitle = "2014 IEEE Radar Conference",

publisher = "IEEE",

note = "2014 IEEE Radar Conference, RadarCon 2014 ; Conference date: 19-05-2014 Through 23-05-2014",

}

TY - GEN

T1 - Multi-polarization SAR change detection with invariant decision rules

AU - Carotenuto, V.

AU - De Maio, A.

AU - Clemente, C.

AU - Soraghan, J. J.

PY - 2014/5

Y1 - 2014/5

N2 - 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.

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

UR - https://www.scopus.com/pages/publications/84906739346

UR - http://www.radarcon2014.org/

U2 - 10.1109/RADAR.2014.6875711

DO - 10.1109/RADAR.2014.6875711

M3 - Conference contribution book

AN - SCOPUS:84906739346

SN - 978-1-4799-2034-1

SP - 859

EP - 862

BT - 2014 IEEE Radar Conference

PB - IEEE

T2 - 2014 IEEE Radar Conference, RadarCon 2014

Y2 - 19 May 2014 through 23 May 2014

ER -

Multi-polarization SAR change detection with invariant decision rules

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