Polarimetric synthetic aperture radar data and the complex Wishart distribution |
Allan Aasbjerg Nielsen, Knut Conradsen, Henning Skriver
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| 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. |
| Type | Conference paper [With referee] |
| Conference | 13th Scandinavian Conference on Image Analysis (SCIA) |
| Editors | Josef Bigun and Tomas Gustavsson |
| Year | 2003 Month June pp. 1082-1089 |
| Publisher | Springer |
| Address | Richard Petersens Plads, Building 321 |
| Series | Lecture Notes on Computer Science 2749 |
| Electronic version(s) | [pdf] |
| BibTeX data | [bibtex] |
| IMM Group(s) | Image Analysis & Computer Graphics, Geoinformatics |