分辨率(逻辑)
点云
图像分辨率
激光扫描
光学(聚焦)
扫描仪
光学
角度分辨率(图形绘制)
激光器
点(几何)
航程(航空)
点扩散函数
遥感
计算机科学
计算机视觉
物理
人工智能
地质学
数学
工程类
几何学
航空航天工程
组合数学
作者
Ling Zhu,Mu Yuqing,Shi Ruoming
标识
DOI:10.1109/igarss.2008.4779200
摘要
Resolution governs the level of identifiable details within the scanned point clouds. It can be classified into angular, range and intensity resolution. The first one is as an indicator of resolution and is the focus of this paper. The main problem concerned is the impact of angular resolution by different scan range and angle. The function of calculating point density is proposed and confirmed through practice. We use a Leica HDS3000 laser scanner to do the field test and the grassplot, cement ground, wooden wall have been taken as the test samples, and then, compared each other. The analysis shows that it is feasible to estimate the point density and evaluate the level of details that can be resolved from the scanned point clouds on forehand.
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