Complex Wishart distribution based analysis of polarimetric synthetic aperture radar data

Allan Aasbjerg Nielsen; Henning Skriver; Knut Conradsen

doi:10.1109/MULTITEMP.2007.4293078

Complex Wishart distribution based analysis of polarimetric synthetic aperture radar data

Allan Aasbjerg Nielsen, Henning Skriver, Knut Conradsen

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Abstract

Multi-look, polarimetric synthetic aperture radar (SAR) data are often worked with in the so-called covariance matrix representation. For each pixel this representation gives a 3x3 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 change detection, edge detection and segmentation 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. Soon the Japanese ALOS, the German TerraSAR-X and the Canadian RADARSAT-2 will acquire space-borne, polarimetric data making analysis based on these methods important.

Original language	English
Title of host publication	International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007.
Publisher	IEEE
Publication date	2007
ISBN (Print)	1-4244-0846-6
DOIs	https://doi.org/10.1109/MULTITEMP.2007.4293078
Publication status	Published - 2007
Event	MultiTemp2007 - Leuven, Belgium Duration: 1 Jan 2007 → …

Conference

Conference	MultiTemp2007
City	Leuven, Belgium
Period	01/01/2007 → …

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Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

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title = "Complex Wishart distribution based analysis of polarimetric synthetic aperture radar data",

abstract = "Multi-look, polarimetric synthetic aperture radar (SAR) data are often worked with in the so-called covariance matrix representation. For each pixel this representation gives a 3x3 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 change detection, edge detection and segmentation 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. Soon the Japanese ALOS, the German TerraSAR-X and the Canadian RADARSAT-2 will acquire space-borne, polarimetric data making analysis based on these methods important.",

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

note = "Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE; MultiTemp2007 ; Conference date: 01-01-2007",

year = "2007",

doi = "10.1109/MULTITEMP.2007.4293078",

language = "English",

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AU - Nielsen, Allan Aasbjerg

AU - Skriver, Henning

AU - Conradsen, Knut

N1 - Copyright: 2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

PY - 2007

Y1 - 2007

N2 - Multi-look, polarimetric synthetic aperture radar (SAR) data are often worked with in the so-called covariance matrix representation. For each pixel this representation gives a 3x3 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 change detection, edge detection and segmentation 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. Soon the Japanese ALOS, the German TerraSAR-X and the Canadian RADARSAT-2 will acquire space-borne, polarimetric data making analysis based on these methods important.

AB - Multi-look, polarimetric synthetic aperture radar (SAR) data are often worked with in the so-called covariance matrix representation. For each pixel this representation gives a 3x3 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 change detection, edge detection and segmentation 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. Soon the Japanese ALOS, the German TerraSAR-X and the Canadian RADARSAT-2 will acquire space-borne, polarimetric data making analysis based on these methods important.

U2 - 10.1109/MULTITEMP.2007.4293078

DO - 10.1109/MULTITEMP.2007.4293078

M3 - Article in proceedings

SN - 1-4244-0846-6

BT - International Workshop on the Analysis of Multi-temporal Remote Sensing Images, 2007. MultiTemp 2007.

PB - IEEE

T2 - MultiTemp2007

Y2 - 1 January 2007

ER -

Complex Wishart distribution based analysis of polarimetric synthetic aperture radar data

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