Bom2009a

[Bom2009a]
Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models

Authors:Bombrun Lionel, Jean-Marie Beaulieu, G Vasile, JP Ovarlez, F Pascal, M Gay

Conference:IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009

 Cape Town, South Africa

 12-17 July 2009, vol. III, pp. 5-8

ISBN:978-1-4244-3394-0

URL:https://ieeexplore.ieee.org/abstract/document/5418271

DOI:10.1109/IGARSS.2009.5418271

Abstract:   In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV) estimation scheme, the scalar texture parameter and the normalized covariance matrix are extracted. If the texture parameter is modeled by a Fisher PDF, the observed target scattering vector follows a KummerU PDF. Then, this PDF is implemented in a hierarchical segmentation algorithm. Segmentation results are shown on high resolution PolSAR data at L and X band.

Hierarchical Segmentation of Polarimetric SAR Images using Heterogeneous Clutter Models,
Bombrun Lionel, Jean-Marie Beaulieu, G Vasile, JP Ovarlez, F Pascal, M Gay,
IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009, Cape Town, South Africa, 12-17 July 2009, pp. 5-8.
[Bibtex]

@Conference{Bom2009a,
author = {Bombrun, Lionel and Beaulieu, Jean-Marie and Vasile, G and Ovarlez, J P and Pascal, F and Gay, M},
editor = {},
title = {Hierarchical Segmentation of Polarimetric {SAR} Images using Heterogeneous Clutter Models},
booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2009},
volume = {III},
publisher = {IEEE},
url = {https://ieeexplore.ieee.org/abstract/document/5418271},
isbn = {978-1-4244-3394-0},
doi = {10.1109/IGARSS.2009.5418271},
address = {Cape Town, South Africa},
pages = {5-8},
year = {2009},
month = {12-17 July},
abstract = {In this paper, heterogeneous clutter models are introduced to describe Polarimetric Synthetic Aperture Radar (PolSAR) data. Based on the Spherically Invariant Random Vectors (SIRV) estimation scheme, the scalar texture parameter and the normalized covariance matrix are extracted. If the texture parameter is modeled by a Fisher PDF, the observed target scattering vector follows a KummerU PDF. Then, this PDF is implemented in a hierarchical segmentation algorithm. Segmentation results are shown on high resolution PolSAR data at L and X band.},
mypdf = {13},
keywords = {Backscatter; Clutter; Covariance matrix; Data mining; Fisher PDF; geophysical image processing; geophysical techniques; heterogeneous clutter models; hierarchical image segmentation; hierarchical segmentation algorithm; image segmentation; image texture; KummerU PDF; L band high resolution PolSAR data; L-band; Maximum likelihood estimation; normalized covariance matrix; Parameter estimation; polarimetric SAR images; polarimetric synthetic aperture radar data; PolSAR data; radar clutter; radar polarimetry; Radar scattering; remote sensing by radar; scalar texture parameter; Segmentation; Spherically Invariant Random Vectors; spherically invariant random vectors estimation scheme; synthetic aperture radar; target scattering vector; Testing; X band high resolution PolSAR data},
openpdf = {https://hal.archives-ouvertes.fr/hal-00398923/},
openid = {HAL archives-ouvertes}
}

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Published in: 2009 IEEE International Geoscience and Remote Sensing Symposium
Date of Conference: 12-17 July 2009
Date Added to IEEE Xplore: 18 February 2010
INSPEC Accession Number: 11150121
Print ISSN: 2153-6996
Electronic ISSN: 2153-7003
Publisher: IEEE