Shanghai Ocean University Researchers Report on Findings in Machine Learning (A Refined Machine Learning Method for CoastalBathymetry Retrieval Using Minimum D istance From Coastline and Geographical Features)

上海海洋大学研究人员报告机器学习(一种改进的海岸机器学习方法)的发现利用海岸线和地理特征最小距离反演水深

Robotics & Machine Learning Daily News2024，Issue(Dec.5) ：100-100.

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Shanghai Ocean University Researchers Report on Findings in Machine Learning (A Refined Machine Learning Method for CoastalBathymetry Retrieval Using Minimum D istance From Coastline and Geographical Features)

上海海洋大学研究人员报告机器学习(一种改进的海岸机器学习方法)的发现利用海岸线和地理特征最小距离反演水深

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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-研究人员详细介绍了人工智能的新数据。根据新闻报道由《新闻周刊》编辑撰写的《中华人民共和国上海》研究报告指出，“水深测量是一个关键的问题。”海洋参数的应用，如珊瑚礁监测，侵蚀预报，海岸防御和其他相关努力。获得水深数据的主要方法是通过卫星遥感。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in artific ial intelligence. According to news reporting outof Shanghai, People’s Republic of China, by NewsRx editors, research stated, “Bathymetry is a criticalmarine parameter for applications, such as coral reef monitoring, erosion forecasting, coastal defense, andother related efforts. The predominant method for obtaining water depth data has been through satelliteremote sensing.”

Key words

Shanghai Ocean University/Shanghai/Peo ple’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Remote Sensing

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出版年

2024

Robotics & Machine Learning Daily News

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