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Proceedings Paper

Directional ocean wave spectrum estimation based on the joint measurement from synthetic aperture radar and wave spectrometer
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Paper Abstract

Synthetic aperture radar (SAR) can measure directional wave spectrum based on the closed nonlinear SAR-ocean mapping mechanism. The according wave spectrum retrieval algorithm has been developing for decades, but some limitations remain, like high wave number cut off in azimuthal direction and the need for the first guess spectrum. Wave spectrometer is a kind of new satellite-based real aperture radar (RAR) operating at low incidence, which has a narrow beam and scans complete 360° by antenna rotation. It derives wave spectrum by the simple linear relation between the wave spectrum and the modulation spectrum from the wave spectrometer. The linear coefficient can be estimated by the nadir beam or external wind speed information. This paper proposes a method on the wave spectrum estimation based on the joint measurement from synchronous SAR and wave spectrometer. Firstly, the modulation spectrum is derived from the signal spectrum of the wave spectrometer, from which the relative wave spectrum can be constructed. Then the relative wave spectrum is seen as the first guess spectrum for the wave spectrum retrieval of SAR image. Because the relative wave spectrum has the same pattern with the real wave spectrum but has different absolute energy, we can retrieve the directional wave spectrum by the iteration way based on the relative wave spectrum from the SAR image. This paper makes use of simulation technology to validate the joint measurement. The simulation compares the input spectrum and the retrieved one in terms of peak direction, peak wavelength and significant wave height, which has a deviation of 6°, 4m and 0.3m, respectively. Simulation results show the joint measurement has the feasibility for the retrieval of directional ocean wave spectrum.

Paper Details

Date Published: 8 October 2011
PDF: 8 pages
Proc. SPIE 8175, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011, 81750W (8 October 2011); doi: 10.1117/12.897857
Show Author Affiliations
Lin Ren, The Second Institute of Oceanography, SOA (China)
Delu Pan, The Second Institute of Oceanography, SOA (China)
Zengzhou Hao, The Second Institute of Oceanography, SOA (China)
Zhihua Mao, The Second Institute of Oceanography, SOA (China)
Xianqiang He, The Second Institute of Oceanography, SOA (China)


Published in SPIE Proceedings Vol. 8175:
Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2011
Charles R. Bostater; Stelios P. Mertikas; Xavier Neyt; Miguel Velez-Reyes, Editor(s)

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