Polarimetric Segmentation Using Wishart Test Statistic

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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 languageEnglish
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume2
PublisherIEEE
Publication date2002
ISBN (Print)0-7803-7536-X
Publication statusPublished - 2002
EventInternational Geoscience and Remote Sensing Symposium (IGARSS) -
Duration: 1 Jan 2002 → …

Conference

ConferenceInternational Geoscience and Remote Sensing Symposium (IGARSS)
Period01/01/2002 → …

Bibliographical 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

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