Change detection in multi-temporal dual polarization Sentinel-1 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 19 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.
Original languageEnglish
Title of host publicationProceedings of Geoscience and Remote Sensing Symposium
Number of pages8
PublisherIEEE
Publication date2017
Pages3901-3908
ISBN (Print)9781509049516
DOIs
Publication statusPublished - 2017
Event2017 IEEE International Geoscience and Remote Sensing Symposium - Fort Worth, United States
Duration: 23 Jul 201628 Jun 2017

Conference

Conference2017 IEEE International Geoscience and Remote Sensing Symposium
Country/TerritoryUnited States
CityFort Worth
Period23/07/201628/06/2017
SeriesIEEE International Geoscience and Remote Sensing Symposium Proceedings
ISSN2153-6996

Keywords

  • Synthetic aperture radar
  • Aircraft
  • Covariance matrices
  • Airports
  • Earth
  • Google
  • Histograms

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