首页|Chang’an University Reports Findings in Machine Learning (Machine learning-based optimization of photogrammetric JRC accuracy)
Chang’an University Reports Findings in Machine Learning (Machine learning-based optimization of photogrammetric JRC accuracy)
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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 newsreporting out of Xi’an, People’s Republ ic of China, by NewsRx editors, research stated, “To improvethe accuracy of pho togrammetric joint roughness coefficient (JRC) estimation, this study proposes t wooptimization models based on ground sample distance (GSD), point density, and the root mean square error(RMSE) of checkpoints. First, an algorithm that auto matically generates spatial positions for equipmentbased on the convergence str ategy was developed, using principles of Structure from Motion and Multi-View St ereo (SfM-MVS) and the shooting parameter selection algorithm (SPSA).”
Xi’anPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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