Omnibus test for change detection in a time sequence of polarimetric 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 (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 languageEnglish
Title of host publicationProceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2016)
PublisherIEEE
Publication date2016
Pages3398-3401
ISBN (Electronic)978-1-5090-3332-4
DOIs
Publication statusPublished - 2016
EventThe International Geoscience and Remote Sensing Symposium (IGARSS 2016) - China National Convention Center, Beijing, China
Duration: 10 Jul 201615 Jul 2016
http://www.igarss2016.org/

Conference

ConferenceThe International Geoscience and Remote Sensing Symposium (IGARSS 2016)
LocationChina National Convention Center
CountryChina
CityBeijing
Period10/07/201615/07/2016
Internet address

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