首页|Researcher from Shanghai Ocean University Reports Details of New Studies and Fin dings in the Area of Machine Learning (A Technique for SAR Significant Wave Heig ht Retrieval Using Azimuthal Cut-Off Wavelength Based on Machine Learning)
Researcher from Shanghai Ocean University Reports Details of New Studies and Fin dings in the Area of Machine Learning (A Technique for SAR Significant Wave Heig ht Retrieval Using Azimuthal Cut-Off Wavelength Based on Machine Learning)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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."
Shanghai Ocean UniversityShanghaiPeo ple's Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachi ne Learning
NETL
NSTL
