首页|Reports from East China Normal University Provide New Insights into Machine Lear ning (Estimating Terrain Elevations At 10 M Resolution By Integrating Random For est Machine Learning Model and Icesat-2, Sentinel-1, and Sentinel-2 Satellite .. .)
Reports from East China Normal University Provide New Insights into Machine Lear ning (Estimating Terrain Elevations At 10 M Resolution By Integrating Random For est Machine Learning Model and Icesat-2, Sentinel-1, and Sentinel-2 Satellite .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Data detailed on Machine Learning have been presented. According to news reportingoriginating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Accuratemapping of terrain elevations at a large scale and fine resolution can characterize the detailed surfaceheight and geomorphic changes and is very critical for the stu dies of the internal motions and externalforces of the earth. The emergence of the Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) offers unprecedentedp ossibilities for global elevation mapping with high vertical accuracy using thre e-dimensionalphoton points.”
ShanghaiPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine LearningEast China Normal University
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