Presentation 2010-10-27
Decomposition technique considering azimuth rotation for polarimetric SAR image analysis(Synthetic Aperture Radar,ICSANE 2010 (International Conference on Space, Aeronautical and Navigational Electronics))
Toshifumi MORIYAMA, Hiroaki MATSUSHITA,
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Abstract(in English) This report deals with a polarimetric decomposition considering azimuth rotation based on evolutionary algorithm. Polarimetric data in urban and mountain areas are affected by azimuth rotation. Thus, the decomposition results derived by same target with different azimuth rotation angle are changed. Some researchers examined to compensate this rotation by mathematical inverse rotation. In this report, the differences of covariance matrix before and after the compensation are used to estimate the contributions of three decomposition components. An evolutional algorithm to determine the contributions is a particle swarm optimization (PSO) which is one of the evolutional algorithms. We apply the proposed method to ALOS/PALSAR data and compare the results between four component decomposition method and proposed method.
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Keyword(in English) POLSAR / Decomposition / Covariance matrix / Particle swarm optimization
Paper # SANE2010-82
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Conference Information
Committee SANE
Conference Date 2010/10/20(1days)
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Registration To Space, Aeronautical and Navigational Electronics (SANE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Decomposition technique considering azimuth rotation for polarimetric SAR image analysis(Synthetic Aperture Radar,ICSANE 2010 (International Conference on Space, Aeronautical and Navigational Electronics))
Sub Title (in English)
Keyword(1) POLSAR
Keyword(2) Decomposition
Keyword(3) Covariance matrix
Keyword(4) Particle swarm optimization
1st Author's Name Toshifumi MORIYAMA
1st Author's Affiliation Faculty of Engineering, Nagasaki University()
2nd Author's Name Hiroaki MATSUSHITA
2nd Author's Affiliation Graduate School of Science & Technology, Nagasaki University
Date 2010-10-27
Paper # SANE2010-82
Volume (vol) vol.110
Number (no) 250
Page pp.pp.-
#Pages 6
Date of Issue