首页|Central South University Reports Findings in Machine Learning (Machine learning and remote sensing-based lithological mapping of the Duwi Shear-Belt area, Centr al Eastern Desert, Egypt)
Central South University Reports Findings in Machine Learning (Machine learning and remote sensing-based lithological mapping of the Duwi Shear-Belt area, Centr al Eastern Desert, Egypt)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsoriginating from Changsha, People’s Rep ublic of China, by NewsRx correspondents, research stated,“Machine learning and remote sensing techniques are widely accepted as valuable, cost-effective tools inlithological discrimination and mineralogical investigations. The current st udy represents an attempt touse machine learning classification along with seve ral remote sensing techniques being applied to Landsat-8/9 satellite data to dis criminate the various outcropping lithological rock units at the Duwi Shear Belt(DSB) area in the Central Eastern Desert of Egypt.”
ChangshaPeople’s Republic of ChinaAs iaCyborgsEmerging TechnologiesMachine LearningRemote Sensing
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