An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data

Allan Aasbjerg Nielsen; Knut Conradsen; Henning Skriver

doi:10.2788/854791

An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data

Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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Abstract

Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a short sequence of multilook, polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change(s) occur. The technique is demonstrated on airborne EMISAR L-band data but may be applied to Sentinel-1, Cosmo-SkyMed, TerraSAR-X, ALOS and RadarSat-2 or other dual- and quad/full-pol, and even single-pol data also.

Original language	English
Title of host publication	Proceedings of the 2016 Conference on Big Data From Space (BiDS '16)
Publisher	Publications Office of the European Union
Publication date	2016
Pages	316-319
ISBN (Print)	978-92-79-56980-7
DOIs	https://doi.org/10.2788/854791
Publication status	Published - 2016
Event	Conference on Big Data from Space 2016 - Santa Cruz de Tenerife, Spain Duration: 15 Mar 2016 → 17 Mar 2016 http://esaconferencebureau.com/2016-events/16m05/introduction

Conference

Conference	Conference on Big Data from Space 2016
Country/Territory	Spain
City	Santa Cruz de Tenerife
Period	15/03/2016 → 17/03/2016
Internet address	http://esaconferencebureau.com/2016-events/16m05/introduction

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10.2788/854791

BiDS2016imm6927Accepted author manuscript, 354 KB
LBNA27775ENNFinal published version, 346 KB

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title = "An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data",

abstract = "Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a short sequence of multilook, polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change(s) occur. The technique is demonstrated on airborne EMISAR L-band data but may be applied to Sentinel-1, Cosmo-SkyMed, TerraSAR-X, ALOS and RadarSat-2 or other dual- and quad/full-pol, and even single-pol data also.",

author = "Nielsen, {Allan Aasbjerg} and Knut Conradsen and Henning Skriver",

year = "2016",

doi = "10.2788/854791",

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booktitle = "Proceedings of the 2016 Conference on Big Data From Space (BiDS '16)",

publisher = "Publications Office of the European Union",

note = "Conference on Big Data from Space 2016, BiDS'16 ; Conference date: 15-03-2016 Through 17-03-2016",

url = "http://esaconferencebureau.com/2016-events/16m05/introduction",

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Nielsen, AA , Conradsen, K & Skriver, H 2016, An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data. in Proceedings of the 2016 Conference on Big Data From Space (BiDS '16). Publications Office of the European Union, pp. 316-319, Conference on Big Data from Space 2016, Santa Cruz de Tenerife, Spain, 15/03/2016. https://doi.org/10.2788/854791

An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data. / Nielsen, Allan Aasbjerg ; Conradsen, Knut ; Skriver, Henning.
Proceedings of the 2016 Conference on Big Data From Space (BiDS '16). Publications Office of the European Union, 2016. p. 316-319.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - Based on an omnibus likelihood ratio test statistic for the equality of several variance-covariance matrices following the complex Wishart distribution with an associated p-value and a factorization of this test statistic, change analysis in a short sequence of multilook, polarimetric SAR data in the covariance matrix representation is carried out. The omnibus test statistic and its factorization detect if and when change(s) occur. The technique is demonstrated on airborne EMISAR L-band data but may be applied to Sentinel-1, Cosmo-SkyMed, TerraSAR-X, ALOS and RadarSat-2 or other dual- and quad/full-pol, and even single-pol data also.

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ER -

An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data

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