Change detection in a series of Sentinel-1 SAR data

Allan Aasbjerg Nielsen; Knut Conradsen; Henning Skriver; Morton J. Canty

doi:10.1109/Multi-Temp.2017.8035210

Change detection in a series of Sentinel-1 SAR data

Jülich Research Centre

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 time series of seven multilook, dual polarization Sentinel-1 SAR data in the covariance matrix representation (with diagonal elements only) is carried out. The omnibus test statistic and its factorization detect if and when change occurs. http://www.imm.dtu.dk/pubdb/p.php?6982.

Original language	English
Title of host publication	9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017)
Number of pages	3
Publisher	IEEE
Publication date	2017
ISBN (Electronic)	978-1-5386-3327-4
DOIs	https://doi.org/10.1109/Multi-Temp.2017.8035210
Publication status	Published - 2017
Event	9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017) - Bruges, Belgium Duration: 27 Jun 2017 → 29 Jun 2017

Conference

Conference	9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017)
Country/Territory	Belgium
City	Bruges
Period	27/06/2017 → 29/06/2017

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@inproceedings{d015b5ea936b449b82479f96789f300f,

title = "Change detection in a series of Sentinel-1 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 time series of seven multilook, dual polarization Sentinel-1 SAR data in the covariance matrix representation (with diagonal elements only) is carried out. The omnibus test statistic and its factorization detect if and when change occurs. http://www.imm.dtu.dk/pubdb/p.php?6982.",

author = "Nielsen, \{Allan Aasbjerg\} and Knut Conradsen and Henning Skriver and Canty, \{Morton J.\}",

year = "2017",

doi = "10.1109/Multi-Temp.2017.8035210",

language = "English",

booktitle = "9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017)",

publisher = "IEEE",

address = "United States",

note = "9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017) ; Conference date: 27-06-2017 Through 29-06-2017",

}

Nielsen, AA , Conradsen, K , Skriver, H & Canty, MJ 2017, Change detection in a series of Sentinel-1 SAR data. in 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017) . IEEE, 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017), Bruges, Belgium, 27/06/2017. https://doi.org/10.1109/Multi-Temp.2017.8035210

TY - GEN

T1 - Change detection in a series of Sentinel-1 SAR data

AU - Nielsen, Allan Aasbjerg

AU - Conradsen, Knut

AU - Skriver, Henning

AU - Canty, Morton J.

PY - 2017

Y1 - 2017

N2 - 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 time series of seven multilook, dual polarization Sentinel-1 SAR data in the covariance matrix representation (with diagonal elements only) is carried out. The omnibus test statistic and its factorization detect if and when change occurs. http://www.imm.dtu.dk/pubdb/p.php?6982.

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 time series of seven multilook, dual polarization Sentinel-1 SAR data in the covariance matrix representation (with diagonal elements only) is carried out. The omnibus test statistic and its factorization detect if and when change occurs. http://www.imm.dtu.dk/pubdb/p.php?6982.

U2 - 10.1109/Multi-Temp.2017.8035210

DO - 10.1109/Multi-Temp.2017.8035210

M3 - Article in proceedings

BT - 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017)

PB - IEEE

T2 - 9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017)

Y2 - 27 June 2017 through 29 June 2017

ER -

Change detection in a series of Sentinel-1 SAR data

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