Change detection in quad and dual pol, single- and bi-frequency SAR data

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Abstract

When the covariance matrix representation is used for multi-look polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution a likelihood ratio test statistic for equality of two complex variance-covariance matrices and an associated p-value are given. In a case study airborne EMISAR C- and L-band SAR images covering agricultural fields and wooded areas near Foulum, Denmark, are used in single- and bi-frequency, bi-temporal change detection with full and dual polarimetry data. © (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE).
Original languageEnglish
Title of host publicationProceedings of SPIE Image and Signal Processing for Remote Sensing XXI
EditorsLorenzo Bruzzone
Number of pages13
PublisherSPIE - International Society for Optical Engineering
Publication date2015
Article number964313
ISBN (Print)9781628418538
DOIs
Publication statusPublished - 2015
EventSPIE Remote Sensing: Image and Signal Processing for Remote Sensing - Toulouse, France
Duration: 21 Sep 201523 Sep 2015
http://spie.org/conferences-and-exhibitions/remote-sensing

Conference

ConferenceSPIE Remote Sensing: Image and Signal Processing for Remote Sensing
CountryFrance
CityToulouse
Period21/09/201523/09/2015
OtherCo-located with SPIE Security + Defence 2015
Internet address
SeriesProceedings of S P I E - International Society for Optical Engineering
Volume9643
ISSN0277-786X

Bibliographical note

Copyright 2015 Society of Photo Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.

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