摘要
针对RANSAC算法应用于空间直线数据处理时具有较强的稳健性,但需要已知内点阈值且计算模型未能充分应用观测数据等问题,基于RANSAC算法提出了空间直线的自适应阈值稳健拟合方法;结合空间直线拟合的PEIV模型,优化了自适应阈值稳健拟合方法。仿真和工程实例数据表明,自适应阈值稳健拟合方法及优化算法可自动获取内点阈值;获得的空间直线几何参数估计具有最优统计特性,抗差性好,可靠性和实用性较强;对其他空间几何形体的稳健拟合处理具有参考意义。
When the RANSAC algorithm is applied to spatial linear data processing, it has strong robustness. However, the inner points threshold must be known and the observation data are not fully utilized by the computational model. Based on the RANSAC algorithm, the adaptive threshold robust fitting method of the spatial line is proposed. Combined with the PEIV model of spatial line, the adaptive threshold robust fitting method is optimized. The simulation and engineering data show that the method and optimization algorithm can automatically obtain the inner points threshold, and the obtained spatial linear geometric parameters have the optimal statistical characteristics, good tolerance, strong reliability and practicability. The method and optimization algorithm have reference significance for the robust fitting processing of other spatial geometries.
作者
包建强
张献州
罗超
李圆
陈霄
肖源淼
BAO Jianqiang;ZHANG Xianzhou;LUO Chao;LI Yuan;CHEN Xiao;XIAO Yuanmiao(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;State-Province Joint Engineer Laboratory in Spatial Information Technology for High-Speed Railway,Chengdu 611756,China)
出处
《测绘科学技术学报》
北大核心
2019年第3期238-243,共6页
Journal of Geomatics Science and Technology
基金
成都市科技项目(VQ21SS1135Y17004
LR01HX1135Y17047)