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首页> 外文期刊>Network Daily News >Reports Summarize Remote Sensing Study Results from Ministry of Natural Resources (Red Tide Detection Method for Hy-1d Coastal Zone Imager Based On U-net Convolutional Neural Network)
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Reports Summarize Remote Sensing Study Results from Ministry of Natural Resources (Red Tide Detection Method for Hy-1d Coastal Zone Imager Based On U-net Convolutional Neural Network)

机译:报告总结遥感研究结果从自然资源(红潮对沿海地区Hy-1d成像仪检测方法基于U-net卷积神经网络)

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摘要

By a News Reporter-Staff News Editor at Network Daily News – Fresh data on Remote Sensing are presented in a new report. According to news reporting originating from Qingdao, People’s Republic of China, by NewsRx correspondents, research stated, “Existing red tide detection methods have mainly been developed for ocean color satellite data with low spatial resolution and high spectral resolution. Higher spatial resolution satellite images are required for red tides with fine scale and scattered distribution.”
机译:由一个新闻记者在网络新闻编辑每日新闻——新鲜的遥感数据提出了一个新的报告。报告来自青岛人民中华人民共和国NewsRx记者,研究说,“现有的赤潮探测方法主要是开发海洋颜色与低空间分辨率卫星数据和高光谱分辨率。分辨率卫星图像所需的红色潮汐与小尺度和分散分布。”

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