Omnibus test for change detection in a time sequence of polarimetric SAR data

Allan Aasbjerg Nielsen; Knut Conradsen; Henning Skriver

doi:10.1109/IGARSS.2016.7729878

Omnibus test for change detection in a time sequence 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

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) time series 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 C-band data but may be applied to ALOS, COSMO-SkyMed, RadarSat-2, Sentinel-1, TerraSAR-X, and Yoagan or other dual- and quad/full-pol data also.

Original language	English
Title of host publication	Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016)
Publisher	IEEE
Publication date	2016
Pages	3398-3401
ISBN (Electronic)	978-1-5090-3332-4
DOIs	https://doi.org/10.1109/IGARSS.2016.7729878
Publication status	Published - 2016
Event	The International Geoscience and Remote Sensing Symposium - China National Convention Center, Beijing, China Duration: 10 Jul 2016 → 15 Jul 2016

Conference

Conference	The International Geoscience and Remote Sensing Symposium
Location	China National Convention Center
Country/Territory	China
City	Beijing
Period	10/07/2016 → 15/07/2016

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title = "Omnibus test for change detection in a time sequence 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) time series 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 C-band data but may be applied to ALOS, COSMO-SkyMed, RadarSat-2, Sentinel-1, TerraSAR-X, and Yoagan or other dual- and quad/full-pol data also.",

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

year = "2016",

doi = "10.1109/IGARSS.2016.7729878",

language = "English",

pages = "3398--3401",

booktitle = "Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016)",

publisher = "IEEE",

address = "United States",

note = "The International Geoscience and Remote Sensing Symposium , IGARSS 2016 ; Conference date: 10-07-2016 Through 15-07-2016",

}

Nielsen, AA , Conradsen, K & Skriver, H 2016, Omnibus test for change detection in a time sequence of polarimetric SAR data. in Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016). IEEE, pp. 3398-3401, The International Geoscience and Remote Sensing Symposium , Beijing, China, 10/07/2016. https://doi.org/10.1109/IGARSS.2016.7729878

Omnibus test for change detection in a time sequence of polarimetric SAR data. / Nielsen, Allan Aasbjerg ; Conradsen, Knut ; Skriver, Henning.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016). IEEE, 2016. p. 3398-3401.

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) time series 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 C-band data but may be applied to ALOS, COSMO-SkyMed, RadarSat-2, Sentinel-1, TerraSAR-X, and Yoagan or other dual- and quad/full-pol data also.

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BT - Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016)

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ER -

Omnibus test for change detection in a time sequence of polarimetric SAR data

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