基于数字表面模型 (DSM) 和点云生成视图
Jerzy Orlof1, Paweł Ozimek1, Piotr Łabędź1
1Faculty of Computer Science and Telecommunications, Cracow University of Technology, Cracow, Poland.
PloS one
|December 31, 2024
概括
激光雷达点云提供比数字表面模型 (DSM) 更精确的视角生成,这对城市规划至关重要. 虽然LiDAR是计算密集型的,但其在视线评估中的准确性对于环境管理至关重要.
科学领域:
- 地理空间分析是什么?
- 环境科学环境科学
- 城市规划是城市规划.
背景情况:
- 视觉分析是城市规划和环境管理的组成部分.
- 视角的生成依赖于准确的地形和海拔数据.
- 数字表面模型 (DSM) 和LiDAR点云数据是地理空间分析的关键数据集.
研究的目的:
- 为了比较DSM与LiDAR点云数据生成的视图的精度.
- 评估每个数据源的优点和弱点,进行视觉分析.
- 评估这些数据集在视线评估和现场作战中的应用.
主要方法:
- 使用DSM和LiDAR点云数据对视角产生进行比较分析.
- 在六个不同的地形位置进行评估.
- 考虑视觉敏度,计算效率和数据精度.
主要成果:
- 从LiDAR点云获得的视图表显示,与DSM相比,其精度更高.
- 精度差异在1.42%至5.94% (比较) 和1.05%至3.89% (减去) 之间.
- 基于LiDAR的视角生成需要大量的计算资源,最适合于有限的区域.
结论:
- 激光雷达点云数据为视界生成和视线评估提供了更高的准确性.
- DSM提供了对陆地表面特征和海拔变化的全面视图.
- LiDAR的高精度使得它在城市环境和关键研究决策中非常宝贵,尽管计算需求很高.
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