引用本文:
【打印本页】   【下载PDF全文】   查看/发表评论  下载PDF阅读器  关闭
←前一篇|后一篇→ 过刊浏览    高级检索
本文已被:浏览 1514次   下载 2566 本文二维码信息
码上扫一扫!
分享到: 微信 更多
无人机低空遥感在复杂山地森林景区实景三维构建中的 应用——以南岭国家森林公园为例*
谭金石, 祖为国, 刘 丽
广东工贸职业技术学院
摘要:
真实三维场景可真实地反映森林景区的地形地貌特征,为森林景区科学管理、生态监测、景观规划及虚拟可视化等提供数据支撑和技术依据。文章以南岭国家森林公园为例,分析了复杂高山地形特征和无人机特性,研究一种利用复合翼无人机对高山景区进行影像采集,建立实景三维模型、表面模型DSM 和正射影像图DOM 的方法,实现对南岭森林景区75 km2 真实三维场景构建,对场景精度和成果应用进行了分析。结果表明,利用复合翼无人机进行高山景区航拍,既解决了起飞降落问题,又提升了航拍时效性和可靠性;突破传统二维成果的局限性,提供三维模型、DSM 和DOM 等成果,提升景区可视化管理、森林调查及应用分析等能力。
关键词:  无人机  低空遥感  森林景区  实景三维  三维场景
DOI:
分类号:
基金项目:广东省普通高校特色创新项目(2020KTSCX232)
Application of UAV Low Altitude Remote Sensing in the Construction of Real Scenery 3D in Complex Mountain Forest Scenic Spots——Taking Nanling National Forest Park as An Example
tan jinshi, ZU Weiguo, LIU Li
广东工贸职业技术学院
Abstract:
The real 3D scene can truly reflect the topography features of forest scenic spots, and provide data support and technical basis for scientific management, ecological monitoring, landscape planning, and virtual visualization of forest scenic spots. Taking the Nanling National Forest Park as an example, this paper analyzes the complicated mountain terrain features and the features of unmanned aerial vehicle(UAV), and studies a method for the image acquisition of alpine scenic spots by using the ompound-wing unmanned aerial vehicle (UAV) to establish real-life 3D models, digital surface model (DSM) and digital orthophoto(DOM). With the method of this article, constructed the real 3d scene forest scenic area of 75km2, and analyzed the scene precision and application results. The experimental results show that the use of the compound-wing UAV for aerial photography of high mountain scenic spots can not only solve the take-off and landing problem but also improve the timeliness and reliability of aerial photography. Breakthrough the limitations of traditional two-dimensional results, provide a three-dimensional model, DSM and DOM, and other results, improve the visual management of scenic spots, forest investigation and application analysis, and other capabilities.
Key words:  umanned aerial vehicle (UAV)  low-altitude remote sensing  forest scenic spot  real threedimensional  three-dimensional scene