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 ...)

Robotics & Machine Learning Daily News2024，Issue(Oct.31) ：145-146.

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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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Abstract

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.

Key words

Tangshan/People's Republic of China/As ia/Machine Learning/Remote Sensing/Support Vector Machines/North China Unive rsity of Science and Technology

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出版年

2024

Robotics & Machine Learning Daily News

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