首页|Reports Summarize Support Vector Machines Study Results from University of Zarag oza (Classification and Mapping of Fuels in Mediterranean Forest Landscapes Usin g a UAV-LiDAR System and Integration Possibilities with Handheld Mobile Laser .. .)
Reports Summarize Support Vector Machines Study Results from University of Zarag oza (Classification and Mapping of Fuels in Mediterranean Forest Landscapes Usin g a UAV-LiDAR System and Integration Possibilities with Handheld Mobile Laser .. .)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Data detailed on have been presented. According to news reporting originating from Zaragoza, Spain, by NewsRx correspo ndents, research stated, “In this study, we evaluated the capability of an unman ned aerial vehicle with a LiDAR sensor (UAV-LiDAR) to classify and map fuel type s based on the Prometheus classification in Mediterranean environments. UAV data were collected across 73 forest plots located in NE of Spain.” Funders for this research include Spanish Ministry of Science, Innovation, And U niversities; Government of Aragon; University Institute For Research in Environm ental Sciences of Aragon (Iuca) of The University of Zaragoza.
University of ZaragozaZaragozaSpainEuropeEmerging TechnologiesMachine LearningSupport Vector MachinesVecto r Machines
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