摘要
随着倾斜摄影测量技术的发展,利用倾斜摄影测量获取的点云数据进行地面目标物识别与提取的应用越来越多,但在点云数据的处理过程中出现地物相互遮挡的情况十分严重,尤其是在山区中植被对目标物的遮挡。针对这一问题,本文提出一种利用倾斜摄影点云数据的空间三维关系区分出植被点与目标点的方法,进而采用C#编程对点云数据进行分类,剔除植被覆盖点,得到没有植被遮挡的目标物清晰图像。研究结果表明,该方法充分利用了空间关系,获得了较好的删除效果。
With the development of oblique photogrammetry technology, there are more and more applications for ground target recognition and extraction. However, it is found that the ground objects occlude each other in the process of point cloud data processing. Especially in mountainous areas where vegetation can block the target. To solve this problem, this paper proposes a method to distinguish vegetation points and target points by using the spatial three-dimensional relationship of oblique photography point cloud data, and then use C# programming to classify the point cloud data to eliminate vegetation coverage points for obtaining a clear image of the target. The results show that this method makes full use of the spatial relationship and obtains a better effect in eliminating vegetation coverage points.
作者
李华蓉
何宪章
付闹旦
Li Huarong;He Xianzhang;Fu Naodan(School of Civil Engineering^Chongqing Jiaotong University,Chongqing 400014,China)
出处
《工程勘察》
2021年第12期47-49,67,共4页
Geotechnical Investigation & Surveying
基金
重庆市教委科学技术研究项目(KJ1600530)。
关键词
倾斜摄影测量
点云数据
空间关系
植被遮挡
tilt photogrammetry
point cloud data
spatial relations
vegetation occlusion
