Polarimetric Segmentation Using Wishart Test Statistic

Henning Skriver; Jesper Schou; Allan Aasbjerg Nielsen; Knut Conradsen

Polarimetric Segmentation Using Wishart Test Statistic

Henning Skriver, Jesper Schou, Allan Aasbjerg Nielsen, Knut Conradsen

Department of Electrical Engineering

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

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Abstract

A newly developed test statistic for equality of two complex covariance matrices following the complex Wishart distribution and an associated asymptotic probability for the test statistic has been used in a segmentation algorithm. The segmentation algorithm is based on the MUM (merge using moments) approach, which is a merging algorithm for single channel SAR images. The polarimetric version described in this paper uses the above-mentioned test statistic for merging. The segmentation algorithm has been applied to polarimetric SAR data from the Danish dual-frequency, airborne polarimetric SAR, EMISAR. The results show clearly an improved segmentation performance for the full polarimetric algorithm compared to single channel approaches.

Original language	English
Title of host publication	International Geoscience and Remote Sensing Symposium (IGARSS)
Volume	2
Publisher	IEEE
Publication date	2002
ISBN (Print)	0-7803-7536-X
Publication status	Published - 2002
Event	International Geoscience and Remote Sensing Symposium (IGARSS) - Duration: 1 Jan 2002 → …

Conference

Conference	International Geoscience and Remote Sensing Symposium (IGARSS)
Period	01/01/2002 → …

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Copyright: 2002 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 = "Polarimetric Segmentation Using Wishart Test Statistic",

abstract = "A newly developed test statistic for equality of two complex covariance matrices following the complex Wishart distribution and an associated asymptotic probability for the test statistic has been used in a segmentation algorithm. The segmentation algorithm is based on the MUM (merge using moments) approach, which is a merging algorithm for single channel SAR images. The polarimetric version described in this paper uses the above-mentioned test statistic for merging. The segmentation algorithm has been applied to polarimetric SAR data from the Danish dual-frequency, airborne polarimetric SAR, EMISAR. The results show clearly an improved segmentation performance for the full polarimetric algorithm compared to single channel approaches.",

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

note = "Copyright: 2002 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; International Geoscience and Remote Sensing Symposium (IGARSS) ; Conference date: 01-01-2002",

year = "2002",

language = "English",

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volume = "2",

booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",

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T1 - Polarimetric Segmentation Using Wishart Test Statistic

AU - Skriver, Henning

AU - Schou, Jesper

AU - Nielsen, Allan Aasbjerg

AU - Conradsen, Knut

N1 - Copyright: 2002 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 - 2002

Y1 - 2002

N2 - A newly developed test statistic for equality of two complex covariance matrices following the complex Wishart distribution and an associated asymptotic probability for the test statistic has been used in a segmentation algorithm. The segmentation algorithm is based on the MUM (merge using moments) approach, which is a merging algorithm for single channel SAR images. The polarimetric version described in this paper uses the above-mentioned test statistic for merging. The segmentation algorithm has been applied to polarimetric SAR data from the Danish dual-frequency, airborne polarimetric SAR, EMISAR. The results show clearly an improved segmentation performance for the full polarimetric algorithm compared to single channel approaches.

AB - A newly developed test statistic for equality of two complex covariance matrices following the complex Wishart distribution and an associated asymptotic probability for the test statistic has been used in a segmentation algorithm. The segmentation algorithm is based on the MUM (merge using moments) approach, which is a merging algorithm for single channel SAR images. The polarimetric version described in this paper uses the above-mentioned test statistic for merging. The segmentation algorithm has been applied to polarimetric SAR data from the Danish dual-frequency, airborne polarimetric SAR, EMISAR. The results show clearly an improved segmentation performance for the full polarimetric algorithm compared to single channel approaches.

M3 - Article in proceedings

SN - 0-7803-7536-X

VL - 2

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

PB - IEEE

T2 - International Geoscience and Remote Sensing Symposium (IGARSS)

Y2 - 1 January 2002

ER -

Polarimetric Segmentation Using Wishart Test Statistic

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