Change detection in a series of Sentinel-1 SAR data

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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 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 languageEnglish
Title of host publication9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017)
Number of pages3
PublisherIEEE
Publication date2017
ISBN (Electronic)978-1-5386-3327-4
DOIs
Publication statusPublished - 2017
Event9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017) - Bruges, Belgium
Duration: 27 Jun 201729 Jun 2017

Conference

Conference9th International Workshop on the Analysis of Multitemporal Remote Sensing Images (MultiTemp 2017)
CountryBelgium
CityBruges
Period27/06/201729/06/2017

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