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A new video monitoring system in support of Coastal Zone Management at Apulia Region, Italy

机译:支持意大利阿普利亚地区沿海地区管理的新型视频监控系统

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New systems for video monitoring and surveillance of Apulian coasts (South-east of Italy) have been recently employed. The system design aims at obtaining a tool able to automatically perform image acquisition, image processing and dissemination of results on a web portal. In the present paper, the system implementation and video stations installation at two different sites are described. A new specific Shoreline Detection Model (SDM) has been developed, based on boundary extraction procedure from automatic segmented coastal area. In real time, processed images and shoreline maps are uploaded and make freely downloadable. Moreover, shoreline time variation analysis is available on user-selected transects in cross-shore direction. The SDM model validation is here presented at one location. Over a set of testing images, the pixel-based comparison between manually and automatically detected shorelines lead to a mean distance of about 1.17 pixel. Then, the reconstruction of intertidal bathymetry from video is reported and compared with topographical (d-RTK) field survey, in order to assess the system efficacy and accuracy in coastal area monitoring, resulting in a mean RMS error overall the transects investigated equal to 0.025 m. (C) 2017 Elsevier Ltd. All rights reserved.
机译:最近采用了新的视频监视和监视阿普利亚海岸(意大利东南部)的系统。该系统设计旨在获得一种能够在门户网站上自动执行图像采集,图像处理和结果分发的工具。在本文中,描述了在两个不同站点的系统实现和视频站安装。基于自动分段沿海地区的边界提取程序,已经开发了一种新的特定海岸线检测模型(SDM)。实时地,已处理的图像和海岸线地图被上传并可以免费下载。此外,海岸线时变分析可用于用户选择的跨岸方向样带。 SDM模型验证在此处显示在一个位置。在一组测试图像上,手动和自动检测到的海岸线之间基于像素的比较导致平均距离约为1.17像素。然后,报告了从视频中重建潮汐测深的方法,并将其与地形(d-RTK)实地调查进行了比较,以评估系统在沿海地区监测中的效能和准确性,从而导致整个被调查样带的平均RMS误差等于0.025米(C)2017 Elsevier Ltd.保留所有权利。

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