Evaluation of the Wishart test statistics for polarimetric SAR data

Author

Skriver, Henning ; Nielsen, Allan Aasbjerg ; Conradsen, Knut

Author_Institution

Tech. Univ. of Denmark, Lyngby, Denmark

Volume

2

fYear

2003

Firstpage

699

Abstract

A test statistic for equality of two covariance matrices following the complex Wishart distribution has previously been used in new algorithms for change detection, edge detection and segmentation in polarimetric SAR images. Previously, the results for change detection and edge detection have been quantitatively evaluated. This paper deals with the evaluation of segmentation. A segmentation performance measure originally developed for single-channel SAR images has been extended to polarimetric SAR images, and used to evaluate segmentation for a merge-using-moment algorithm for polarimetric SAR data.

Keywords

covariance matrices; edge detection; geophysical signal processing; geophysical techniques; image segmentation; radar polarimetry; remote sensing by radar; statistical analysis; synthetic aperture radar; Wishart distribution; Wishart test statistics; change detection; covariance matrices; edge detection; image segmentation; merge-using-moment algorithm; polarimetric SAR data; quantitative evaluation; single-channel SAR images; Change detection algorithms; Covariance matrix; Image edge detection; Image segmentation; Informatics; Merging; Performance evaluation; Probability; Statistical analysis; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2003. IGARSS '03. Proceedings. 2003 IEEE International

Print_ISBN

0-7803-7929-2

Type

conf

DOI

10.1109/IGARSS.2003.1293888

Filename

1293888