An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

290 Downloads (Pure)

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 sequence 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 L-band data but may be applied to Sentinel-1, Cosmo-SkyMed, TerraSAR-X, ALOS and RadarSat-2 or other dual- and quad/full-pol, and even single-pol data also.
Original languageEnglish
Title of host publicationProceedings of the 2016 Conference on Big Data From Space (BiDS '16)
PublisherPublications Office of the European Union
Publication date2016
Pages316-319
ISBN (Print)978-92-79-56980-7
DOIs
Publication statusPublished - 2016
EventConference on Big Data from Space (BiDS'16) - Santa Cruz de Tenerife, Spain
Duration: 15 Mar 201617 Mar 2016
http://esaconferencebureau.com/2016-events/16m05/introduction

Conference

ConferenceConference on Big Data from Space (BiDS'16)
Country/TerritorySpain
CitySanta Cruz de Tenerife
Period15/03/201617/03/2016
Internet address

Fingerprint

Dive into the research topics of 'An omnibus likelihood test statistic and its factorization for change detection in time series of polarimetric SAR data'. Together they form a unique fingerprint.

Cite this