Corrections to “Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data”

Allan Aasbjerg Nielsen; Knut Conradsen; Henning Skriver

doi:10.1109/JSTARS.2017.2761038

Corrections to “Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data”

Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver

Research output: Contribution to journal › Comment/debate › Research › peer-review

Abstract

When the covariance matrix formulation is used for multi-look 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 bi-frequency, bi-temporal 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	10
Issue number	11
Pages (from-to)	5143-5144
ISSN	1939-1404
DOIs	https://doi.org/10.1109/JSTARS.2017.2761038
Publication status	Published - 2017

Keywords

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

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10.1109/JSTARS.2017.2761038

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title = "Corrections to “Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data”",

abstract = "When the covariance matrix formulation is used for multi-look 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 bi-frequency, bi-temporal change detection with full and dual polarimetry data.",

keywords = "Complex covariance matrix test statistic, Complex wishart distribution, Dual polarization, EMISAR, Full polarization, Remote sensing change detection, Quad polarization",

author = "Nielsen, {Allan Aasbjerg} and Knut Conradsen and Henning Skriver",

year = "2017",

doi = "10.1109/JSTARS.2017.2761038",

language = "English",

volume = "10",

pages = "5143--5144",

journal = "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing",

issn = "1939-1404",

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Corrections to “Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data”. / Nielsen, Allan Aasbjerg ; Conradsen, Knut ; Skriver, Henning.
In: I E E E Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol. 10, No. 11, 2017, p. 5143-5144.

Research output: Contribution to journal › Comment/debate › Research › peer-review

TY - JOUR

T1 - Corrections to “Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data”

AU - Nielsen, Allan Aasbjerg

AU - Conradsen, Knut

AU - Skriver, Henning

PY - 2017

Y1 - 2017

N2 - When the covariance matrix formulation is used for multi-look 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 bi-frequency, bi-temporal change detection with full and dual polarimetry data.

AB - When the covariance matrix formulation is used for multi-look 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 bi-frequency, bi-temporal change detection with full and dual polarimetry data.

KW - Complex covariance matrix test statistic

KW - Complex wishart distribution

KW - Dual polarization

KW - EMISAR

KW - Full polarization

KW - Remote sensing change detection

KW - Quad polarization

U2 - 10.1109/JSTARS.2017.2761038

DO - 10.1109/JSTARS.2017.2761038

M3 - Comment/debate

SN - 1939-1404

VL - 10

SP - 5143

EP - 5144

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

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

IS - 11

ER -

Corrections to “Change Detection in Full and Dual Polarization, Single- and Multi-Frequency SAR Data”

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Keywords

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