Robotics & Machine Learning Daily News2024,Issue(Jun.3) :5-6.

Researcher from Ministry of Natural Resources Reports Details of New Studies and Findings in the Area of Machine Learning (Effect of the One-to-Many Relationshi p between the Depth and Spectral Profile on Shallow Water Depth Inversion Based on ...)

自然资源部的研究员报告了机器学习领域的新研究和发现的细节(深度和光谱剖面之间的一对多关系对基于...的浅水深度反演的影响)

Robotics & Machine Learning Daily News2024,Issue(Jun.3) :5-6.

Researcher from Ministry of Natural Resources Reports Details of New Studies and Findings in the Area of Machine Learning (Effect of the One-to-Many Relationshi p between the Depth and Spectral Profile on Shallow Water Depth Inversion Based on ...)

自然资源部的研究员报告了机器学习领域的新研究和发现的细节(深度和光谱剖面之间的一对多关系对基于...的浅水深度反演的影响)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻的新闻编辑-一项关于人工智能的新研究现在可用。根据NewsRx记者从中华人民共和国厦门发来的消息,研究表明,"在浅水中,哨兵-2多光谱图像只有四个可见波段,量化水平有限,容易导致同一光谱剖面但不同深度的(SSPBDD)现象的出现,导致水深和光谱剖面之间存在一对多的关系"。资助单位包括国家自然科学基金、第三海洋学研究所科研基金、北京航天智能遥感设备工程研究中心开放基金、国家高分辨率专项研究。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on artificial intelligence is now available. According to news originating from Xiamen, People’s Republic of China, by NewsRx correspondents, research stated, “In shallow water, Sentinel -2 multispectral imagery has only four visible bands and limited quantization le vels, which easily leads to the occurrence of the same spectral profile but diff erent depth (SSPBDD) phenomenon, resulting in a one-to-many relationship between water depth and spectral profile.” Funders for this research include National Natural Science Foundation of China; Scientific Research Foundation of Third Institute of Oceanography; Open Fund of Beijing Engineering Research Centre For Aerospace Intelligent Remote Sensing Equ ipment; National High Resolution Special Research.

Key words

Ministry of Natural Resources/Xiamen/P eople’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learnin g/Support Vector Machines/Vector Machines

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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