The analysis of optimal locations for photovoltaic systems within urban regions has been raised as an important issue for increasing the relative efficiency of solar power generation in urban landscapes. This paper suggests a method that includes 3D modeling through unmanned aerial vehicle (UAV) flight strategies, shadow generation, solar radiation estimation, and evaluation of optimal areas to estimate cost-effective candidate locations for installing solar panels. For testing the proposed method, combining generated shadows with the intensities of solar radiation in Pohang, South Korea, which were from data collected for a year, the average intensities were calculated to estimate regions for installing solar panels in the targeted places. It is expected that the strategy proposed in this study can contribute to the popularization on local intensity estimations of the solar radiation in urban landscape with using conventional UAV, which has high accessibility as well as realizing low estimation cost.

中文翻译：

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通过无人机对局部区域进行基于视觉的 3D 建模来估计太阳辐射的局部强度

城市区域内光伏系统的最佳位置分析已成为提高城市景观中太阳能发电相对效率的重要问题。本文提出了一种方法，该方法包括通过无人机 (UAV) 飞行策略、阴影生成、太阳辐射估计和评估最佳区域的 3D 建模，以估计安装太阳能电池板的具有成本效益的候选位置。为了测试所提出的方法，将生成的阴影与韩国浦项的太阳辐射强度（来自一年收集的数据）相结合，计算平均强度以估计在目标位置安装太阳能电池板的区域。