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Directional spectrum analysis and statistics obtained from ERS-1 SAR wave images
Authors:Yi-Yu Kuo  Li-Guang Leu  I Lang Kao
Institution:Institute of Civil Engineering, National Chiao-Tung University, and Energy and Resources Laboratories, Industrial Technology Research Institute, Hsinchu, Taiwan, ROC
Abstract:This work examines ERS-1 (the first European Remote Sensing Satellite) SAR (Synthetic Aperture Radar) water surface wave images over Hualien of Taiwan, indicating that the variation of SAR signals in space domain is similar to in situ wave data's in time domain. Some statistical properties of SAR data are investigated. The Rayleigh distribution function closely corresponds with the histogram of wave heights, but the Gaussian one cannot for water surface displacements. Evidence reveals that SAR wave signals do not respond well to actual ocean waves effectively. As wave spectral analysis of available SAR data reveals, the appropriate sample size of SAR wave image, sampling average, and moving average should be taken carefully to accurately confirm directional power spectra. Moreover, SAR spectra are compared with in situ ones, confirming that peak frequencies correlate well and wave directions approximately agree with each other. Some differences between both spectral shapes remain somewhat unclear and require further study. Nevertheless, in this study, ERS-1 SAR power spectra verified the feasibility of deriving an appropriate dominant wave direction and peak frequency.
Keywords:Directional spectrum analysis  Ocean surface wave  SAR  Remote sensing
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