Polarimetric synthetic aperture radar data and the complex Wishart distribution

Allan Aasbjerg Nielsen; Knut Conradsen; Henning Skriver; Josef Bigun et al.

Polarimetric synthetic aperture radar data and the complex Wishart distribution

Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver, Josef Bigun et al. (Editor)

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

181 Downloads (Pure)

Abstract

When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the so-called covariance matrix. For each pixel this is a 3 by 3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices and an associated asymptotic probability for obtaining a smaller value of the test statistic are given and applied to segmentation, change detection and edge detection in polarimetric SAR data. In a case study EMISAR L-band data from 17 April 1998 and 20 May 1998 covering agricultural fields near Foulum, Denmark, are used.

Original language	English
Title of host publication	13th Scandinavian Conference on Image Analysis (SCIA 2003)
Publisher	Springer
Publication date	2003
Pages	1082-1089
Publication status	Published - 2003

Access to Document

Imm2394

http://www.imm.dtu.dk/pubdb/p.php?2394

Cite this

@inproceedings{22ffe2656f464c94860f3938b9d05ea5,

title = "Polarimetric synthetic aperture radar data and the complex Wishart distribution",

abstract = "When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the so-called covariance matrix. For each pixel this is a 3 by 3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices and an associated asymptotic probability for obtaining a smaller value of the test statistic are given and applied to segmentation, change detection and edge detection in polarimetric SAR data. In a case study EMISAR L-band data from 17 April 1998 and 20 May 1998 covering agricultural fields near Foulum, Denmark, are used.",

author = "Nielsen, {Allan Aasbjerg} and Knut Conradsen and Henning Skriver and {Bigun et al.}, Josef",

year = "2003",

language = "English",

pages = "1082--1089",

booktitle = "13th Scandinavian Conference on Image Analysis (SCIA 2003)",

publisher = "Springer",

}

Polarimetric synthetic aperture radar data and the complex Wishart distribution. / Nielsen, Allan Aasbjerg ; Conradsen, Knut ; Skriver, Henning; Bigun et al., Josef (Editor).

13th Scandinavian Conference on Image Analysis (SCIA 2003). Springer, 2003. p. 1082-1089.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

TY - GEN

T1 - Polarimetric synthetic aperture radar data and the complex Wishart distribution

AU - Nielsen, Allan Aasbjerg

AU - Conradsen, Knut

AU - Skriver, Henning

A2 - Bigun et al., Josef

PY - 2003

Y1 - 2003

N2 - When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the so-called covariance matrix. For each pixel this is a 3 by 3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices and an associated asymptotic probability for obtaining a smaller value of the test statistic are given and applied to segmentation, change detection and edge detection in polarimetric SAR data. In a case study EMISAR L-band data from 17 April 1998 and 20 May 1998 covering agricultural fields near Foulum, Denmark, are used.

AB - When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the backscattered signal consists of the so-called covariance matrix. For each pixel this is a 3 by 3 Hermitian, positive definite matrix which follows a complex Wishart distribution. Based on this distribution a test statistic for equality of two such matrices and an associated asymptotic probability for obtaining a smaller value of the test statistic are given and applied to segmentation, change detection and edge detection in polarimetric SAR data. In a case study EMISAR L-band data from 17 April 1998 and 20 May 1998 covering agricultural fields near Foulum, Denmark, are used.

M3 - Article in proceedings

SP - 1082

EP - 1089

BT - 13th Scandinavian Conference on Image Analysis (SCIA 2003)

PB - Springer

ER -

Polarimetric synthetic aperture radar data and the complex Wishart distribution

Abstract

Access to Document

Fingerprint

Cite this