4.6 Article

Development and Validation of Unmanned Aerial Vehicle Photogrammetry Simulator for Shaded Area Detection

期刊

APPLIED SCIENCES-BASEL
卷 12, 期 9, 页码 -

出版社

MDPI
DOI: 10.3390/app12094454

关键词

shaded area; simulator validation; UAV 3D modeling; UAV photogrammetry; UAV simulator

资金

  1. Ministry of Land, Infrastructure and Transport (MOLIT, Korea) [2021-DRMS-B147287-04]

向作者/读者索取更多资源

A simulator that can automatically generate flight routes, simulate image acquisition, and analyze shaded areas has been developed in this study to address the impact of flight planning on the quality of UAV photogrammetry models. The performance of the simulator was validated, and the outputs can be applied to other 3D modeling simulators.
In unmanned aerial vehicle (UAV) photogrammetry, the qualities of three-dimensional (3D) models, including ground sample distance (GSD) and shaded areas, are strongly affected by flight planning. However, during flight planning, the quality of the output cannot be estimated, as it depends on the experience of the operator. Therefore, to reduce the time and cost incurred by repetitive work required to obtain satisfactory quality, a simulator, which can automatically generate a route, acquire images through simulation, and analyze the shaded areas without real flight, has been required. While some simulators have been developed, there are some limitations. Furthermore, evaluating the performance of the simulator is difficult owing to the lack of a validation method. Therefore, to overcome the limitations, target functions, which can plan flights and can detect shaded areas, were set, developed, and validated in this study. As a result, a simulator successfully planned a flight and detected shaded areas. In this way, the simulator was validated to determine the applicability of its performance. Furthermore, the outputs of this study can be applied to not only UAV photogrammetry simulators but also other 3D modeling simulators.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据