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

Allan Aasbjerg Nielsen; Knut Conradsen; Henning Skriver

doi:10.1109/JSTARS.2015.2416434

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

Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver

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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 language	English
Journal	I E E E Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Volume	8
Issue number	8
Pages (from-to)	4041-4048
ISSN	1939-1404
DOIs	https://doi.org/10.1109/JSTARS.2015.2416434
Publication status	Published - 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

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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",

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doi = "10.1109/JSTARS.2015.2416434",

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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.

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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

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KW - Quad polarization

KW - Remote sensing change detection

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DO - 10.1109/JSTARS.2015.2416434

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