首页|New Findings on Support Vector Machines Described by Investigators at North Chin a University of Science and Technology (Identifying Coral Reef Ecosystem Benthic Substances Based On Multisource Remote Sensing Imagery: a Case Study of the Sa nya ...)
New Findings on Support Vector Machines Described by Investigators at North Chin a University of Science and Technology (Identifying Coral Reef Ecosystem Benthic Substances Based On Multisource Remote Sensing Imagery: a Case Study of the Sa nya ...)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News-Fresh data on Machine Learning - Suppo rt Vector Machines are presented in a newreport. According to news originating from Tangshan, People's Republic of China, by NewsRx correspondents,research st ated, "Identifying coral reef ecosystem benthic substances is extremely importan t forprotecting coral reef ecosystems and monitoring their health status. Using remote sensing images and theobject-based image analysis (OBIA) method could e ffectively improve the identification accuracy of coralreef ecosystem benthic s ubstances."Funders for this research include Applied and Basic Research Program from Tangsh an Science andTechnology Bureau, China, Natural Science Foundation of Hebei Pro vince Youth Fund, China.
TangshanPeople's Republic of ChinaAs iaMachine LearningRemote SensingSupport Vector MachinesNorth China Unive rsity of Science and Technology
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