@inproceedings{c7d494c9217642a185972841528c0379,
title = "Segmentation and classification of polarimetric SAR data based on the KummerU distribution",
abstract = "Thinner spatial features can be observed from the high resolution of newly available spaceborne and airborne SAR images. Heterogeneous clutter models should be used to model the covariance matrix because each resolution cell contains only a small number of scatterers. In this paper, we focus on the use of a Fisher probability density function (pdf) to model the SAR clutter. First, the benefit of using such a pdf is exposed. Covari-ance matrix statistics are then analyzed in details. For a Fisher distributed texture, the covariance matrix follows a KummerU pdf. Asymptotic cases of this pdf are presented. Finally, the KummerU pdf is implemented in both hierarchical segmentation and classification algorithms. Segmentation and classification results are shown on both synthetic and real data.",
keywords = "Classification, Fisher pdf, High resolution PolSAR data, KummerU pdf, Segmentation, Texture",
author = "Olivier Harant and Lionel Bombrun and Michel Gay and Renaud Fallourd and Emmanuel Trouv{\'e} and Florence Tupin",
year = "2009",
month = dec,
day = "1",
language = "English",
isbn = "9789292212322",
series = "European Space Agency, (Special Publication) ESA SP",
booktitle = "Proceedings of the 4th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, PolInSAR 2009",
note = "4th International Workshop on Science and Applications of SAR Polarimetry and Polarimetric Interferometry, PolInSAR 2009 ; Conference date: 26-01-2009 Through 30-01-2009",
}