Wave Height Estimation by Velocity Bunching Simulation Using SAR Data(WSANE 2009 (Workshop for Space, Aeronautical and Navigational Electronics))
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概要
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The waves that primarily cause variations in SAR (Synthetic Aperture Radar) image scattered from the ocean surface are the Bragg-waves in which wavelength is matched to the projection of the SAR electromagnetic wavelength onto the local ocean surface. It is agreed that range travelling waves are detected by their NRCS (Normalised Radar Cross Section) modulation, and azimuthly travelling waves are imaged by the velocity bunching mechanism. Therefore, long waves that travel in azimuthly direction cannot be detected by the Bragg-waves scattering mechanism. In the this study, wave imaging mechanisms were investigated using airborne Pi-SAR (Polarimetric-Interferometric SAR) X-band (9.5GHz) VV images of ocean waves around the Miyake Island at approximately 180km south from Tokyo, Japan. Two images of a same scene were produced at approximately 20min. interval from two directions at right angles. One image shows dominant range travelling waves, but the other image shows a different wave pattern. This difference can be caused by the different image modulations of RCS and velocity bunching. In this study, 18 sub-images are extracted, and the directional wave spectra are compared to each other of the two different areas. We have estimated the dominant wavelength from the image of range waves, and from the wave phase velocity computed from the dispersion relation, the image intensity is computed by using the velocity bunching model. The comparison of the result with the second image at right angle strongly suggests the evidence of velocity bunching. Furthermore, it is shown that the waveheight, 1.4m, estimated in this way is similar to the height of 1.5m simulated using the MM5 numerical weather model and data assimilation by JWA (Japan Weather Association).
- 社団法人電子情報通信学会の論文
- 2009-10-26
著者
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Ouchi Kazuo
Department Of Computer Science National Defense Academy
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YANG Chan-Su
Korea Ocean Satellite Center Ocean Satellite Remote Sensing & Observation Technology Research Depart
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Yang Chan-su
Korea Ocean Satellite Center Ocean Satellite Remote Sensing & Observation Technology Research De
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Ouchi Kazuo
National Defense Acad. Kanagawa Jpn
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