Decomposition technique considering azimuth rotation for polarimetric SAR image analysis(Synthetic Aperture Radar,ICSANE 2010 (International Conference on Space, Aeronautical and Navigational Electronics))
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概要
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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.
- 2010-10-20
著者
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MORIYAMA Toshifumi
Faculty of Engineering, Nagasaki University
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Moriyama Toshifumi
Faculty Of Engineering Nagasaki University
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Matsushita Hiroaki
Graduate School Of Science & Technology Nagasaki University
関連論文
- Calibration of Spaceborne Polarimetric SAR Data Using Particle Swarm Optimization(WSANE 2009 (Workshop for Space, Aeronautical and Navigational Electronics))
- Decomposition technique considering azimuth rotation for polarimetric SAR image analysis(Synthetic Aperture Radar,ICSANE 2010 (International Conference on Space, Aeronautical and Navigational Electronics))
- Forward-Backward Time-Stepping Method Applied to Reconstruction of Dispersive Objects(WSANE 2009 (Workshop for Space, Aeronautical and Navigational Electronics))
- Reduction of Surface Clutter by a Polarimetric FM-CW Radar in Underground Target Detection
- Calibration of Spaceborne Polarimetric SAR Data Using a Genetic Algorithm(WSANE 2008 (Workshop for Space, Aeronautical and Navigational Electronics))