摘要
在分析激光数字化测量数据点的基础上,提出利用圆心距偏差判别法对测量数据进行平滑处理,修正个别测量异常点位置,再利用基于弦高的自适应数据采样法,对数据点列进行精简,消除冗余数据,使数据点的分布自适应于曲线曲率,达到优化数据点的分布及减少描述曲线数据量的目的.实验结果表明该方法能够对测量数据进行较好的精简优化.
In this paper, a method of preprocessing data is proposed based on analyzing the feature of the measured data by laser scanning. The distance of center is applied to preprocess the measured data, and the location of exceptional data is amended;range data are extracted from the measured data based on the chord criterion, meanwhile the data is reduced. It is proved that the proposed method can be utilized to reduce and optimize data efficiently.
出处
《兰州交通大学学报》
CAS
2005年第6期97-99,共3页
Journal of Lanzhou Jiaotong University
关键词
测量数据
数据平滑
数据精简
measured data
data smooth process
data reduction
