Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Researchers detail new data in artificial intelli gence. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "This study introduces a new machine learning-based algorithm for the retrieving significant wave height (SWH) using synthetic aperture radar (SAR) images."Funders for this research include National Key Research And Development Program of China; National Natural Science Foundation of China; Natural Science Foundati on of Shanghai. The news reporters obtained a quote from the research from Shanghai Ocean Univer sity: "This algorithm is based on the azimuthal cut-off wavelength and was devel oped in quad-polarized stripmap (QPS) mode in coastal waters. The collected imag es are collocated with a wave simulation from the numeric model, called WAVEWATC H-III (WW3), and the current speed from the HYbrid Coordinate Ocean Model (HYCOM ). The sea surface wind is retrieved from the image at the vertical-vertical pol arization channel, using the geophysical model function (GMF) CSARMOD-GF. The re sults of the algorithm were validated against the measurements obtained from the Haiyang-2B (HY-2B) scatterometer, yielding a root mean squared error (RMSE) of 1.99 m/s with a 0.82 correlation (COR) and 0.27 scatter index of wind speed. It was found that the SWH depends on the wind speed and azimuthal cut-off wavelengt h. However, the current speed has less of an influence on azimuthal cut-off wave length."
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