自适应Kalman滤波和小波滤波在激光云图数据处理中应用的比较  

Comparison between Adaptive Kalman Filter and Wavelet Filter in Laser Point Cloud Data Processing

作　　者：张晓东[1] 董峥[1] 李瑞锋[1] 

机构地区：[1]信息工程大学

出　　处：《测绘科学与工程》2010年第1期6-8,28,共4页Geomatics Science and Engineering

摘　　要：为了获取一种具有实际应用价值的动态激光扫描云图误差处理算法，本文在一幅实测激光扫描云图的基础上，通过数据模拟和计算，分别对自适应卡尔曼滤波算法和小波算法的滤波效果进行试验，给出了试验结果。通过对处理结果的分析，结合两种算法的理论原理，说明了每种算法的适用范围，总结了存在的问题。In order to obtain a kind of practical error processing algorithms for dynamic laser scanning cloud data, some tests on the filtering effect of adaptive Kalman filter and wavelet algorithm are performed. The test results are obtained by data simulating and calculating based on actual laser scanning cloud data in this paper. Combined with the principles of the two algorithms, the application fields of each algorithm are explained based on the analysis of the data processing results. At last, the existent problems of each algorithm are summed up.

关 键 词：激光云图 小波 卡尔曼滤波 

分 类 号：TN24[电子电信—物理电子学]