测绘通报 ›› 2025, Vol. 0 ›› Issue (2): 175-179,184.doi: 10.13474/j.cnki.11-2246.2025.0231

• 测绘地理信息技术应用案例 • 上一篇    下一篇

面向水旱灾害的激光点云综合精度评价

马耀昌1, 王进1, 董秀军2, 叶飞3, 冯国正1,2   

  1. 1. 长江水利委员会水文局长江上游水文水资源勘测局, 重庆 400020;
    2. 成都理工大学, 四川 成都 610059;
    3. 武汉天宝耐特科技有限公司, 湖北 武汉 430043
  • 收稿日期:2024-11-06 发布日期:2025-03-03
  • 通讯作者: 冯国正。E-mail:81323008@qq.com
  • 作者简介:马耀昌(1972—),男,硕士,正高级工程师,主要研究方向为测绘工程、水文防灾减灾。E-mail:634840156@qq.com
  • 基金资助:
    国家重点研发计划(2023YFC3209502);重庆市自然科学基金CSTB2023NSCQ-LZX0089;长江水利委员会水文局科研项目(SWJ-24CJX18)

Comprehensive accuracy evaluation of laser point cloud for water and drought disasters

MA Yaochang1, WANG Jin1, DONG Xiujun2, YE Fei3, FENG Guozheng1,2   

  1. 1. Bureau of Hydrology and Water Resources Survey of the Upper Yangtze River, Chongqing 400020, China;
    2. Chengdu University of Technology, Chengdu 610059, China;
    3. Wuhan tianbaonet Technology Co., Ltd., Wuhan 430043, China
  • Received:2024-11-06 Published:2025-03-03

摘要: 针对现有点云精度评价要素不全面,且不能有效控制点云数据处理精度等问题,本文从水旱灾害对点云数据应用需求出发,提出了基于点、线、面要素的点云获取,以及数据处理精度综合评价方法。点云平面维度中,利用点平面精度、地物特征线、地物特征面中的点云单点平面位置、地物边长及面积等要素,评价点云平面精度;点云高程维度中,利用单点高程、地形剖面、地形表面模型中的点云单点高程、地形剖面包围面积、地形体积等要素,评价点云高程精度。结果表明,基于水旱灾害应用的激光点云综合精度评价方法,从平面、高程维度,以及点云数据获取、点云滤波、数据应用全过程,对点云精度进行了全面、客观、准确的评价,可推广至激光点云应用其他领域,具有较好的参考意义。

关键词: 水旱灾害, 激光点云, 综合精度, 精度评价

Abstract: In response to the incomplete evaluation elements of existing point cloud accuracy and the inability to effectively control the accuracy of point cloud data processing, a comprehensive evaluation method for point cloud acquisition and data processing accuracy based on point, line, and surface elements is proposed for the first time to meet the application requirements of point cloud data in water and drought disasters. The point cloud plane dimension proposes a comprehensive evaluation of the point cloud plane accuracy based on factors such as point plane accuracy, feature lines of land features, single point plane position of land features, edge length and area of land features.The elevation dimension of point clouds is proposed to comprehensively evaluate the accuracy of point cloud elevation by considering factors such as single point elevation, terrain profile, and terrain surface model, including the enclosing area of terrain profiles and terrain volume. The results indicate that the laser point cloud comprehensive accuracy evaluation method based on water and drought disasters can comprehensively, objectively, and accurately evaluate the accuracy of point clouds from the plane and elevation dimensions, as well as the entire process of point cloud data acquisition, point cloud filtering, and data application. It can be extended to other fields of laser point cloud applications and has good reference significance.

Key words: water disasters, laser point cloud, comprehensive accuracy, accuracy evaluation

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