基于背包LiDAR生成户外地图和农村房屋3D模型的算法
Quanshun Zhu1, Bingjie Zhang2, Lailiang Cai1
1School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China.
Sensors (Basel, Switzerland)
|September 14, 2024
概括
本研究介绍了一种自动化方法,用于生成准确的户外地图和农村房屋的3D模型,使用背包LiDAR点云数据. 开发的算法确保了农村振兴工作的精确数字化.
科学领域:
- 地理学工程 工程地质学
- 计算机视觉 计算机视觉
- 城市规划 城市规划
背景情况:
- 农村振兴需要农村基础设施的数字化,包括房屋,道路和树木.
- 现有的方法与农村地区的独特挑战作斗争:狭窄的道路,高建筑密度和低层结构.
- 精确和自动生成户外地图和3D模型对于农村数字化至关重要.
研究的目的:
- 从农村房屋墙壁点云中开发一种自动化户外地图生成算法.
- 根据地图和高度数据创建一个算法,快速生成农村房屋的户外3D模型.
- 验证生成的数字模型的准确性和适用性,用于农村空间分析和建设.
主要方法:
- 使用背包LiDAR收集农村房屋外墙的点云数据.
- 开发了基于切片和拉斯特化的墙点云的拓关系的地图生成算法.
- 通过使用墙点云高度信息挤出地图来实现3D模型生成算法.
主要成果:
- 产生的地板图符合1:1000地形图的准确性要求,通过RTK测量进行验证.
- 户外3D模型表现出高保真度,与墙壁点云的距离集中在-0.1m和0.1m之间.
- 这些算法使农村住房数字数据的高效大规模更新成为可能.
结论:
- 拟议的算法为农村房屋的数字化提供了精确和自动化的解决方案.
- 生成的地图和3D模型适用于空间分析,如照明和洪水研究.
- 开发的方法可以作为真正的3D建筑和农村数字双胞胎计划的基础数据.
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