期刊论文

Ground point extraction and DEM generation of traditional village landing surface points based on dense matching point cloud of UAV image: taking Dehang village in western Hunan as an example

中文

测绘通报

0494-0911

2021

2021

12

1-5

10.13474/j.cnki.11-2246.2021.362

41771150:国家自然科学基金 16YJAZ006:教育部人文社会科学研究项目 17ZDB051:湖南省社会科学基金重点项目 19B078:湖南省教育厅优秀青年项目 CX20190982:湖南省研究生科研创新项目

本校为第一机构

目前,针对利用无人机技术在山地起伏大、山体植被密集区域,难以获取地面点及DEM等问题,本文提出了一种结合布料模拟算法和改进的局部最大值算法,利用树顶点、树高等植被信息,提取地面点,进而生成整个区域的DEM的方法。以中国传统村落德夯村为例,利用植被系数和高程信息将点云分割为植被密集区和非植被密集区两个部分。在非植被密集区,通过布料模拟算法和改进的局部最大值算法分别提取地面点和树顶点,计算平均树高;在植被密集区,通过该区域的树顶点推算得到植被密集区的近似地面点,最终将两部分的地面点云进行TIN插值得到该地区的DEM。试验结果表明,利用此方法生成的DEM均方根误差,在非植被密集区...

For the problems of using UAV technology to obtain ground points and DEM in mountainous area with large fluctuation and dense vegetation,a method combining cloth simulation filtering algorithm and improved local maximum algorithm is proposed. This method uses vegetation information such as tree vertices and tree heights to extract ground points,and then generates DEM for the entire area.In this paper,Dehang village,a traditional village,is taken as an example. The point cloud is divided into two parts: dense vegetation area and non-dense vegetation area by vegetation coefficient and elevation ...