Robotics & Machine Learning Daily News2024,Issue(Mar.21) :70-71.

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)

Robotics & Machine Learning Daily News2024,Issue(Mar.21) :70-71.

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)

扫码查看

Abstract

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.”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文