Data from Information Engineering University Broaden Understanding of Machine Le arning (Land-sea classification based on the fast feature detection model for IC ESat-2 ATL03 datasets)
Data from Information Engineering University Broaden Understanding of Machine Le arning (Land-sea classification based on the fast feature detection model for IC ESat-2 ATL03 datasets)
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting from Zhengzhou, Peop le’s Republic of China, by NewsRx journalists, research stated, “Accurate land-s ea classification of ATL03 datasets is the prerequisite for signal photons ident ification and higherlevel data production. Current photon classification method s are mainly based on physical models and machine learning methods.” Funders for this research include National Natural Science Foundation of China; Ministry of Science And Technology of The People’s Republic of China; National K ey Research And Development Program of China.
Key words
Information Engineering University/Zhen gzhou/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning
NETL
NSTL