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首页> 外文期刊>International journal of remote sensing >Assessment of continuous sky view factor based on ultra-high resolution natural colour images acquired by remotely piloted airborne systems for applications in an urban area of Athens
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Assessment of continuous sky view factor based on ultra-high resolution natural colour images acquired by remotely piloted airborne systems for applications in an urban area of Athens

机译:基于超空中自然系统获取的超高分辨率自然彩色图像对连续天空视野因子的评估,该图像可用于雅典市区

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摘要

The thermal comfort conditions in a complex urban area is influenced by the surrounding structures and obstacles which modify the incoming radiation fluxes. A measure of this modification is the sky view factor (SVF), which could be estimated in each point of a selected area if a high resolution digital elevation model (DEM), or other urban morphological data including the manmade infrastructure, are available. The goal of this study is to model the continuous SVF for a complex building environment in the campus of National and Kapodistrian University of Athens, based on a high resolution DEM (0.09 m). For this purpose, we applied the structure-from-motion (SfM) technique, which takes advantage of the interpretation of ultra-high resolution colour images acquired by remotely piloted airborne systems, also known as drones or unmanned aerial vehicles. A quantitative analysis, by applying statistical metrics, yields perfect agreement between modelled and observed SVF values, over the examined area. The proposed methodology could be applied for human-biometeorology research in micro scale complex urban environments.
机译:复杂市区中的热舒适条件受到周围结构和障碍物的影响,这些结构和障碍物会改变入射的辐射通量。这种修改的一种度量是天空视图因子(SVF),如果可以使用高分辨率数字高程模型(DEM)或其他包含人造基础设施的城市形态数据,则可以在选定区域的每个点上估算天空因子。这项研究的目的是基于高分辨率DEM(0.09 m),为雅典国立和卡波迪斯安大学校园中的复杂建筑环境建模连续SVF。为此,我们采用了“运动结构”(SfM)技术,该技术利用了对由远程驾驶机载系统(也称为无人机或无人飞行器)获得的超高分辨率彩色图像的解释的优势。通过应用统计指标进行定量分析,可以在检查区域内的建模和观察到的SVF值之间达成完美的一致性。所提出的方法可以用于微观复杂城市环境中的人类生物气象学研究。

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