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Monitoring of beach litter by automatic interpretation of unmanned aerial vehicle images using the segmentation threshold method

机译:使用分割阈值方法自动解释无人机图像来监控沙滩垃圾

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摘要

This study was aimed at monitoring beach litter using an unmanned aerial vehicle (UAV) in the coastal city of Fuzhou, China. The data analysis shows that the optical images obtained by digital cameras on the UAV can help to identify and monitor beach litter using remote sensing and GIS technologies. The threshold method can effectively segment the UAV image in the beach area. It is useful for quickly monitoring the distribution of beach litter in the area of interest, and hence it can help to provide effective technical support for the investigation and assessment of coastal beach litter.
机译:这项研究旨在使用无人飞行器(UAV)在中国沿海城市福州监测沙滩垃圾。数据分析表明,通过无人机上的数码相机获得的光学图像可以使用遥感和GIS技术帮助识别和监视沙滩垃圾。阈值法可以有效地分割海滩区域的无人机图像。它对于快速监视感兴趣区域中海滩垃圾的分布很有用,因此可以帮助为沿海海滩垃圾的调查和评估提供有效的技术支持。

著录项

  • 来源
    《Marine pollution bulletin》 |2018年第12期|388-398|共11页
  • 作者单位

    China-Europe Center for Environment and Landscape Management;

    School of Geographical Sciences, Fujian Normal University;

    College of Environmental Science & Engineering, Fujian Normal University;

    Investigation and Surveying Institute;

    State Key Laboratory for Subtropical Mountain Ecology of the Ministry of Science and Technology and Fujian Province, Fujian Normal University;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Coastal pollution; UAV; Remote sensing; Beach litter; Image segmentation; Threshold method;

    机译:海岸污染;UAV;遥感;海滩垃圾;图像分割;阈值法;
  • 入库时间 2022-08-18 03:58:55

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