机载LIDAR数据在DEM提取以及三维建模等方面正逐步得到广泛的应用,但是,残余系统误差的存在影响了LIDAR数据的应用,需要进行条带平差以消除残余系统误差。由于目前用户通常得不到原始的观测值,因此,本文在对机载LIDAR系统误差分析的基础上,针对系统检校后的LIDAR数据中存在的GPS定位和INS测姿误差,提出了一种条带平差的数学模型,该模型从LIDAR严格传感器模型出发,并且不需要系统原始的观测值。试验结果表明,该模型能够有效地提高LIDAR数据的精度。
Airborne LIDAR data is applied widely in DEM extraction and 3D modeling gradually.But the application of LIDAR data is influenced by residual systematic errors.Strip adjustment is needed to eliminate residual systematic errors.Considering that the users usually can't get raw measurements,based on analysis of airborne LIDAR systematic errors and considering the existence of GPS and INS errors in data after calibration,a new mathematic model of strip adjustment is proposed in this paper.This model comes from LIDAR rigorous sensor model,and doesn't need any system raw measurements.Experiment result shows that,this model can improve the precision of LIDAR data efficiently.