Robotics & Machine Learning Daily News2024,Issue(Dec.4) :45-46.

National Forestry and Grassland Administration Researchers Update Understanding of Machine Learning (ICESat-2 data denoising and forest canopy height estimation using Machine Learning)

国家林业和草原管理局研究人员对机器学习的最新理解(ICESat-2数据去噪和使用机器学习的森林冠层高度估计)

Robotics & Machine Learning Daily News2024,Issue(Dec.4) :45-46.

National Forestry and Grassland Administration Researchers Update Understanding of Machine Learning (ICESat-2 data denoising and forest canopy height estimation using Machine Learning)

国家林业和草原管理局研究人员对机器学习的最新理解(ICESat-2数据去噪和使用机器学习的森林冠层高度估计)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-人工智能的新数据在一份新的报告中呈现。据新闻报道《新闻日报》记者从中华人民共和国北京报道,研究称,"监督"分类方法可以区分冰、云和陆地高程卫星2中的噪声和信号(ICESat-2)跨不同功能透视图的数据,并自动优化参数。不过,模型泛化仍然是实际应用的一个重要限制。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Fresh data on artificial intelligence are presented in a new report. According to newsreporting from Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “Supervisedclassif ication methods can distinguish between noise and signal in ice, cloud, and land elevation satellite-2(ICESat-2) data across various feature perspectives and a utonomously optimize parameters. Nevertheless,model generalization remains a si gnificant limitation for practical applications.”

Key words

National Forestry and Grassland Administ ration/Beijing/People’s Republic of China/Asia/Cyborgs/Emerging Technologie s/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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