摘要
激光雷达数据滤波是为了获取高精度数字高程模型而改进的多级移动曲面拟合滤波方法。预处理剔除了粗差点和大部分建筑物侧面回波点,再通过格网化分,建立数据索引,相邻曲面保持一定的重叠度,利用最小二乘法求解拟合曲面参数,自动设置阈值后进行滤波。最后,利用多尺度加权插值方法生成数字高程模型。采用国际摄影测量与遥感学会(ISPRS)提供的测试数据进行实验。结果表明:改进的算法降低了三类误差产生的可能,第一实验区的总误差由8.39%降低到7.40%,第二实验区的总误差由6.39%降低到5.86%,生成的数字高程模型满足精度要求,具有推广性。
LIDAR data filtering is to obtain high-precision digital elevation model of improved hierarchical moving curved fitting algorithm,removed the rough points and most of the buildings side points,by gridding points,data index were calculated,used the least squares fitting surface,the adjacent surfaces maintained a certain overlap degree,automatically set the threshold for processing the raw data. Finally,used the multi-scale weighted interpolation method to generate digital elevation model.Adopt test data provided by international photogrammetry and remote sensing society（ISPRS）.Results show that the algorithm reduced three types error possibility,total error of filtering in first study area decreases from 8.39% to 7.40%,and the total error in the second study area decrease from 6.39% to 5.86%,the generated digital elevation model to meet the precision requirements,algorithm can be popularized.
出处
《红外与激光工程》
EI
CSCD
北大核心
2013年第2期349-354,共6页
Infrared and Laser Engineering
基金
国家自然科学基金(40801128)
中国农业大学基本科研业务费专项资金(基于地基激光雷达数据的玉米冠层真实场景三维建模)
关键词
激光雷达
数据滤波
自适应阈值
多尺度加权插值
LIDAR
data filtering
adaptive threshold
multi-scale weighted interpolation
