首页|Research on Machine Learning Discussed by a Researcher at Min- istry of Natural Resources (Nearshore Bathymetry from ICESat- 2 LiDAR and Sentinel-2 Imagery Datasets Using Physics-Informed CNN)
Research on Machine Learning Discussed by a Researcher at Min- istry of Natural Resources (Nearshore Bathymetry from ICESat- 2 LiDAR and Sentinel-2 Imagery Datasets Using Physics-Informed CNN)
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2024 FEB 20 (NewsRx) – By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial intelligence have been published. According to news reporting originating from Hangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The recently developed Ice, Cloud, and Land Elevation Satellite 2 (ICESat-2), furnished with the Advanced Terrain Laser Altimeter System (ATLAS), delivers considerable benefits in providing accurate bathymetric data across extensive geographical regions. By integrating active lidar-derived reference sea- water depth data with passive optical remote sensing imagery, efficient bathymetry mapping is facilitated.” Funders for this research include National Natural Science Foundation; National Key Research And Development Program of China; Key Special Project For Introduced Talents Team of Southern Marine Science And Engineering Guangdong Laboratory; Donghai Laboratory Preresearch Project; Key Research And Development Program of Zhejiang Province.
Ministry of Natural ResourcesHangzhouPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningRemote Sensing
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