城市环境视觉生态智能评价

D. Ather, N. Rashevskiy, D. Parygin, A. Gurtyakov, S. Katerinina
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引用次数: 0

摘要

这篇文章致力于城市环境的视觉生态学研究。分析了造成视觉污染的主要因素,并对视觉污染源进行了分类。提出了一种对城市环境视觉生态状态进行智力评估的三阶段方法。描述了利用机器学习和地理信息方法进行区域视觉生态积分水平计算的数据采集、准备和分析技术。开发的方法在两种情况下进行了测试:调查垂直表面(墙壁,围栏)的视觉污染,因为存在未经授权的涂鸦;控制垃圾容器和废物收集地点的填充物。本文介绍了基于城市地图信息可视化的城市基础设施违规状态监测和城市服务通知软件解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent Assessment of the Visual Ecology of the Urban Environment
The article is devoted to the study of the visual ecology of the urban environment. The main factors of visual pollution are analyzed and a classification of sources of visual pollution is made. A three-stage approach to the intellectual assessment of the state of the visual ecology of the urban environment is proposed. The technology for collecting, preparing and analyzing data for calculating the integral level of area visual ecology using machine learning and geo information methods is described. The developed approach was tested on two cases: survey of visual pollution of vertical surfaces (walls, fences) for the presence of unauthorized graffiti; control over the filling of garbage containers and waste collection sites. Software solutions for monitoring urban infrastructure for violations of the normal state and notification of city services with visualization of information on a city map are described in the paper.
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