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首页> 外文期刊>Robotics & Machine Learning Daily News >Study Findings from Shanghai Jiao Tong University Advance Knowledge in Machine Learning (Satellite-derived bathymetry combined with Sentinel-2 and ICESat-2 datasets using machine learning)
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Study Findings from Shanghai Jiao Tong University Advance Knowledge in Machine Learning (Satellite-derived bathymetry combined with Sentinel-2 and ICESat-2 datasets using machine learning)

机译:上海交通大学机器学习知识进步研究结果(使用机器学习将卫星测深与 Sentinel-2 和 ICESat-2 数据集相结合)

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By a News Reporter-Staff News Editor at Robotics Machine Learning DailyNews Daily News – Researchers detail new data in artificial intelligence. According to news originating fromShanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Most satellite-derivedbathymetry (SDB) methods developed thus far from passive remote sensing data have required in situwater depth, thus limiting their utility in areas with no in situ data.”
机译:机器人技术与新闻记者新闻编辑机器学习日常研究人员详细人工的新数据情报。从NewsRx记者,研究表示,“大多数采用卫星发展到目前为止从被动遥感数据需要原位限制他们的公用事业领域没有原位数据。”

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