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Four-component scattering model for polarimetric SAR image decomposition
Yamaguchi, Y.
Moriyama, T.
Ishido, M.
Yamada, H.
©(2005) IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained the IEEE.
Polarimetric synthetic aperture radar(POLSAR)
radar polarimetry
scattering contribution decomposition
symmetric and asymmetric covariance
A four-component scattering model is proposed to decompose polarimetric synthetic aperture radar (SAR) images. The covariance matrix approach is used to deal with the nonreflection symmetric scattering case. This scheme includes and extends the three-component decomposition method introduced by Freeman and Durden dealing with the reflection symmetry condition that the co-pol and the cross-pol correlations are close to zero. Helix scattering power is added as the fourth component to the three-component scattering model which describes surface, double bounce, and volume scattering. This helix scattering term is added to take account of the co-pol and the cross-pol correlations which generally appear in complex urban area scattering and disappear for a natural distributed scatterer. This term is relevant for describing man-made targets in urban area scattering. In addition, asymmetric volume scattering covariance matrices are introduced in dependence of the relative backscattering magnitude between HH and VV. A modification of probability density function for a cloud of dipole scatterers yields asymmetric covariance matrices. An appropriate choice among the symmetric or asymmetric volume scattering covariance matrices allows us to make a best fit to the measured data. A four-component decomposition algorithm is developed to deal with a general scattering case. The result of this decomposition is demonstrated with L-band Pi-SAR images taken over the city of Niigata, Japan.
IEEE
2005-08
eng
journal article
http://hdl.handle.net/10191/4987
https://niigata-u.repo.nii.ac.jp/records/1730
info:doi/10.1109/TGRS.2005.852084
AA00231483
01962892
IEEE transactions on geoscience and remote sensing
IEEE transactions on geoscience and remote sensing
43
8
1699
1706
https://niigata-u.repo.nii.ac.jp/record/1730/files/(Yamaguchi four)01487628.pdf
application/pdf
618.8 kB
2019-07-29