基于虚拟连接点模型的机载LiDAR系统安置误差自检校

利用激光扫描直接定位的严格模型，定量分析LiDAR系统安置误差对激光脚点定位精度的影响，设计了一种安置参数自检校方法提高LiDAR数据条带间相对精度，由于离散采样的激光脚点之间不存在真实的同名连接点，提出了虚拟点模型，将虚拟连接点与真实激光脚点联系起来，并定义了两组规则从激光脚点坐标计算出连接点坐标。采用安阳市内真实LiDAR数据进行试验，证明了本文介绍的自检校方法的可行性和有效性，获得的检校参数稳定有效，可直接对原始LiDAR条带进行纠正，补偿系统安置误差。

Self-calibration of LiDAR System Mounting Biases Using Virtual Tie Point Model

A self-calibration method for estimating system mounting parameters is introduced.Firstly,using the rigorous model of LiDAR direct geo-referencing,the effect of mounting parameters on laser footprint location accuracy is quantitatively analyzed.Then the self-calibration model based on tie points is given.Laser footprints are discretely sampled,so the real corresponding laser points are hardly existent.A virtual tie point model(VTPM) is proposed to resolve the corresponding problem among discrete laser points.Each VTPM contains a tie point and three real laser footprints.Two rules are defined to calculate tie point coordinate from real laser footprints.The flow of self-calibration based on VTPM is described in detail.The practical examples illustrate the feasibility and effectiveness of the proposed self-calibration method.