Abstract
When working with multi-look fully polarimetric synthetic aperture radar (SAR) data an appropriate way of representing the back-scattered signal consists of the so-called covariance matrix. For each pixel this is a 3×3 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.
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Nielsen, A.A., Conradsen, K., Skriver, H. (2003). Polarimetric Synthetic Aperture Radar Data and the Complex Wishart Distribution. In: Bigun, J., Gustavsson, T. (eds) Image Analysis. SCIA 2003. Lecture Notes in Computer Science, vol 2749. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45103-X_142
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DOI: https://doi.org/10.1007/3-540-45103-X_142
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