摘要
针对地铁隧道中地面三维激光扫描仪扫描密度不均的问题,提出了基于扫描线点间距的点云压缩算法。该算法利用扫描仪逐线扫描的特性,滤除同一扫描线上点间距小于给定阈值的扫描点,使压缩后的点云呈现较为均匀的分布。通过实验分析了算法中阈值与压缩率之间的函数关系,建立压缩率与给定阈值倒数的多项式拟合模型并验证了模型的精度。
For the presence of terrestrial laser scanner(TLS) point clouds' interval farther away from the scanning distance lead to the problem of uneven density, this paper put forward a compression algorithm based on the point clouds spacing of scanning-lines. The algorithm used scanner by-line scanning features to filter the same scanninglines point which spacing was less than the given threshold. Through the experiment, the paper analyzed the function between the threshold value and the compression ratio, and established the compression ratio with a given threshold's reciprocal polynomial fi tting model. This experiment verifi ed the accuracy of the model.
出处
《地理空间信息》
2015年第5期63-65,74,共4页
Geospatial Information
基金
精密工程与工业测量国家测绘地理信息局重点实验室开放基金资助项目(PF2012-4)
关键词
点云压缩
扫描线
点间距
拟合模型
point clouds compression,scanning-lines,point spacing,fi tting model
