Change Detection in Full and Dual Polarization, Single- and Multifrequency SAR Data

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Abstract

When the covariance matrix formulation is used for multilook polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution, a test statistic for equality of two complex variance–covariance matrices and an associated asymptotic probability of obtaining a smaller value of the test statistic are given. In a case study, airborne EMISAR C- and L-band SAR images from the spring of 1998 covering agricultural fields and wooded areas near Foulum, Denmark, are used in single- and bifrequency, bitemporal change detection with full and dual polarimetry data.
Original languageEnglish
JournalI E E E Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume8
Issue number8
Pages (from-to)4041-4048
ISSN1939-1404
DOIs
Publication statusPublished - 2015

Bibliographical note

© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

Keywords

  • Complex covariance matrix test statistic
  • Complex Wishart distribution
  • Dual polarization
  • Full polarization
  • EMISAR
  • Quad polarization
  • Remote sensing change detection

Cite this

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title = "Change Detection in Full and Dual Polarization, Single- and Multifrequency SAR Data",
abstract = "When the covariance matrix formulation is used for multilook polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution, a test statistic for equality of two complex variance–covariance matrices and an associated asymptotic probability of obtaining a smaller value of the test statistic are given. In a case study, airborne EMISAR C- and L-band SAR images from the spring of 1998 covering agricultural fields and wooded areas near Foulum, Denmark, are used in single- and bifrequency, bitemporal change detection with full and dual polarimetry data.",
keywords = "Complex covariance matrix test statistic, Complex Wishart distribution, Dual polarization, Full polarization, EMISAR, Quad polarization, Remote sensing change detection",
author = "Nielsen, {Allan Aasbjerg} and Knut Conradsen and Henning Skriver",
note = "{\circledC} 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.",
year = "2015",
doi = "10.1109/JSTARS.2015.2416434",
language = "English",
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issn = "1939-1404",
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T1 - Change Detection in Full and Dual Polarization, Single- and Multifrequency SAR Data

AU - Nielsen, Allan Aasbjerg

AU - Conradsen, Knut

AU - Skriver, Henning

N1 - © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

PY - 2015

Y1 - 2015

N2 - When the covariance matrix formulation is used for multilook polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution, a test statistic for equality of two complex variance–covariance matrices and an associated asymptotic probability of obtaining a smaller value of the test statistic are given. In a case study, airborne EMISAR C- and L-band SAR images from the spring of 1998 covering agricultural fields and wooded areas near Foulum, Denmark, are used in single- and bifrequency, bitemporal change detection with full and dual polarimetry data.

AB - When the covariance matrix formulation is used for multilook polarimetric synthetic aperture radar (SAR) data, the complex Wishart distribution applies. Based on this distribution, a test statistic for equality of two complex variance–covariance matrices and an associated asymptotic probability of obtaining a smaller value of the test statistic are given. In a case study, airborne EMISAR C- and L-band SAR images from the spring of 1998 covering agricultural fields and wooded areas near Foulum, Denmark, are used in single- and bifrequency, bitemporal change detection with full and dual polarimetry data.

KW - Complex covariance matrix test statistic

KW - Complex Wishart distribution

KW - Dual polarization

KW - Full polarization

KW - EMISAR

KW - Quad polarization

KW - Remote sensing change detection

U2 - 10.1109/JSTARS.2015.2416434

DO - 10.1109/JSTARS.2015.2416434

M3 - Journal article

VL - 8

SP - 4041

EP - 4048

JO - I E E E Journal of Selected Topics in Applied Earth Observations and Remote Sensing

JF - I E E E Journal of Selected Topics in Applied Earth Observations and Remote Sensing

SN - 1939-1404

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ER -