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Multi-baseline polarimetric SAR data classification using the complex Wishart distribution and principal component analysis

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4 Author(s)
Ferro-Famil, L. ; A. R. T. Lab., Univ. of Rennes, France ; Reigber, A. ; Pottier, E. ; Boerner, W.M.

In this paper is introduced a classification approach for multi-baseline polarimetric interferometric SAR data sets, based on a principal component analysis of coherent scattering vectors. From the Wishart probability density function of a restricted data set, is defined a maximum likelihood decision rule to perform an iterative adaptive classification

Published in:
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International  (Volume:6 )

Date of Conference: 2001

Page(s):
2712 - 2714 vol.6
Meeting Date :
09 Jul 2001-13 Jul 2001
Print ISBN:
0-7803-7031-7
INSPEC Accession Number:
7320756
Conference Location :
Sydney, NSW
Digital Object Identifier :
10.1109/IGARSS.2001.978138
Product Type:
Conference Publications

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