Robotics & Machine Learning Daily News2024,Issue(Sep.19) :22-23.

Study Findings from Shanghai Ocean University Provide New Insights into Machine Learning (Machine Learning-Based Algorithm for SAR Wave Parameters Retrieval Dur ing a Tropical Cyclone)

Robotics & Machine Learning Daily News2024,Issue(Sep.19) :22-23.

Study Findings from Shanghai Ocean University Provide New Insights into Machine Learning (Machine Learning-Based Algorithm for SAR Wave Parameters Retrieval Dur ing a Tropical Cyclone)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New study results on artificial intelligence have been published. According to news reporting out of Shanghai, People’s Republic of China, by NewsRx editors, research stated, “The major objective of our resear ch is to retrieve wave parameters from synthetic aperture radar (SAR) images dur ing a tropical cyclone (TC) based on a machine learning method. In this study, m ore than 2000 Sentinel-1 images obtained in interferometric-wide and extra wide mode are collected during 200 TCs, which are collocated with hindcasted waves by a third-generation numeric model, namely WAVEWATCH-III (WW3).” Financial supporters for this research include National Natural Science Foundati on of China; Natural Science Foundation of Shanghai.

Key words

Shanghai Ocean University/Shanghai/Peo ple’s Republic of China/Asia/Algorithms/Cyborgs/Emerging Technologies/Machi ne Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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