首页|University of Electronic Science and Technology of China Reports Findings in Mac hine Learning (Enhancing vegetation formation classification: Integrating coarse -scale traditional mapping knowledge and advanced machine learning)
University of Electronic Science and Technology of China Reports Findings in Mac hine Learning (Enhancing vegetation formation classification: Integrating coarse -scale traditional mapping knowledge and advanced machine learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Chengdu, People’s Repu blic of China, by NewsRx correspondents, research stated, “Mapping vegetation fo rmation types in large areas is crucial for ecological and environmental studies . However, this is still challenging to distinguish similar vegetation formation types using existing predictive vegetation mapping methods, based on commonly u sed environmental variables and remote sensing spectral data, especially when th ere are not enough training samples.”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine Learning
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