Presentation 2000/10/6
Polarimetric SAR Classification by three component scattering model decomposition technique
Makoto Murase, Yoshio Yamaguchi, Hiroyoshi Yamada,
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Abstract(in English) Scattering matrix acquired by Polarimetric synthetic aperture radar is a function of incidence angle, wavelength, resolution and polarization. In this report, Polarimetric image analysis is carried out, in which scattering matrix is decomposed into three component scattering model(surface scattering, double bounce, volume scattering). Then the entire image was classified by the supervised Maximum Likelihood method using these components. It was found that the feature vector contributed to high classification of SAR image simply using three scattering model decomposition technique.
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Keyword(in English) Synthetic Aperture Radar / Radar Polarimetry / Three component scattering model / Maximum Likelihood method
Paper # A・P2000-124,SANE2000-101,RCS2000-147
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Committee AP
Conference Date 2000/10/6(1days)
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Registration To Antennas and Propagation (A・P)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Polarimetric SAR Classification by three component scattering model decomposition technique
Sub Title (in English)
Keyword(1) Synthetic Aperture Radar
Keyword(2) Radar Polarimetry
Keyword(3) Three component scattering model
Keyword(4) Maximum Likelihood method
1st Author's Name Makoto Murase
1st Author's Affiliation Faculty of Engineering, Niigata University()
2nd Author's Name Yoshio Yamaguchi
2nd Author's Affiliation Faculty of Engineering, Niigata University
3rd Author's Name Hiroyoshi Yamada
3rd Author's Affiliation Faculty of Engineering, Niigata University
Date 2000/10/6
Paper # A・P2000-124,SANE2000-101,RCS2000-147
Volume (vol) vol.100
Number (no) 340
Page pp.pp.-
#Pages 7
Date of Issue