@Conference{Bom2008b,
author = {Bombrun, Lionel and Beaulieu, Jean-Marie},
editor = {},
title = {Segmentation of Polarimetric {SAR} Data based on the Fisher Distribution for Texture Modeling},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2008},
volume = {V},
publisher = {IEEE},
url = {https://ieeexplore.ieee.org/abstract/document/4780100},
isbn = {978-1-4244-2807-6},
doi = {10.1109/IGARSS.2008.4780100},
address = {Boston, MA, USA},
pages = {350-353},
year = {2008},
month = {July 7-11},
abstract = {The Polarimetric Synthetic Aperture Radar (PolSAR) covariance matrix is generally modeled by a complex Wishart distribution. For textured scenes, the product model is used and the texture component is often modeled by a Gamma distribution. In this paper, authors propose to use the Fisher distribution for texture modeling. From a Fisher distributed texture component, we derive the distribution of the complex covariance matrix and we propose to implement the KummerU distribution in a hierarchical segmentation and a hierarchical clustering algorithm. Segmentation and classification results are shown on synthetic images and on ESAR L-band PolSAR data over the Oberpfaffenhofen test-site.},
mypdf = {13},
keywords = {Classification; Clustering algorithms; complex Wishart distribution; covariance matrices; covariance matrix; Electromagnetic scattering; ESAR L-band PolSAR data; Fisher distribution; Gamma distribution; geophysical techniques; geophysics computing; hierarchical clustering algorithm; hierarchical segmentation; image classification; image segmentation; image texture; KummerU; KummerU distribution; L-band; Layout; Oberpfaffenhofen test-site; Polarimetric SAR images; Polarimetric Synthetic Aperture Radar data; Polarization; radar polarimetry; Radar scattering; Receiving antennas; remote sensing by radar; Segmentation; Speckle; synthetic aperture radar; Texture; texture component; texture modeling},
openpdf = {https://hal.archives-ouvertes.fr/hal-00369374/},
openid = {HAL archives-ouvertes}
}