Robotics & Machine Learning Daily News2024,Issue(Nov.22) :77-78.

New Findings from Indiana University Bloomington in the Area of Machine Learning Described (Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data)

印第安纳大学布鲁明顿分校在机器学习领域的新发现描述(在大比例尺地球图像数据上绘制洪水地图的地形感知空间机器学习)

Robotics & Machine Learning Daily News2024,Issue(Nov.22) :77-78.

New Findings from Indiana University Bloomington in the Area of Machine Learning Described (Scaling Terrain-Aware Spatial Machine Learning for Flood Mapping on Large Scale Earth Imagery Data)

印第安纳大学布鲁明顿分校在机器学习领域的新发现描述(在大比例尺地球图像数据上绘制洪水地图的地形感知空间机器学习)

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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-调查人员发布关于人工智能的新报告。根据新闻报道NewsRx编辑在联合圣艾茨布鲁明顿发表的研究报告称,“准确和及时的信息”绘制受洪水影响地区的地图对于有效的灾害管理,包括灾害管理非常重要评估和救济工作。而卫星在灾害期间提供的高分辨率光学图像洪水淹没自动制图的机遇现有分段模型面临挑战由于像clou d覆盖物和树冠这样的噪音。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators publish new report on ar tificial intelligence. According to news reportingout of Bloomington, United St ates, by NewsRx editors, research stated, “The accurate and promptmapping of fl ood-affected regions is important for effective disaster management, including d amageassessment and relief efforts. While high-resolution optical imagery from satellites during disasters presentsan opportunity for automated flood inundati on mapping, existing segmentation models face challengesdue to noises like clou d cover and tree canopies.”

Key words

Indiana University Bloomington/Blooming ton/United States/North and Central America/Cyborgs/Emerging Technologies/M achine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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