无控制条件下机载LiDAR航带拟稳平差方法

Airborne LiDAR strip quasi-stable adjustment without control conditions

摘要:

对无控制条件下机载LiDAR测区数据在平差过程中，由于受平差基准选取因素的影响，或难以补偿因POS系统导致的系统偏差，或容易造成误差累积的问题，提出了一种机载LiDAR航带拟稳平差方法。首先介绍了航带平差方法采用的航带形变模型，然后提出了航带拟稳平差模型，并推导了航带拟稳平差约束条件，同时可根据测区实际情况调整拟稳基准权值。最后利用该模型进行机载LiDAR航带平差。实验表明，该方法能够在无控制条件下有效减弱或消除机载LiDAR数据的系统误差，同时抑制航带平差过程中累积误差的产生，从而提高点云数据的质量和精度。

Abstract:

When dealing with the airborne LiDAR data without control conditions, it is difficult to compensate for the system deviation caused by the POS system and easy to cause the problem of error accumulation due to the influence of the selection factor of the adjustment datum. An airborne LiDAR strip quasi-stable adjustment method is proposed to solve this difficulty. Firstly, the strip deformation model is introduced which is used in strip adjustment methods. Then, the airborne LiDAR strip quasi-stable adjustment model is discussed in detail and quasi-stable adjustment restrict equation is deduced. And the reference weight of the quasi-stable adjustment can be adjusted according to the actual situation of the survey area. Finally, this model is used in airborne LiDAR adjustment experiment. The results demonstrate that strip quasi-stable adjustment method can significantly reduce data’s systematic error, while restrain the strip adjustment error accumulation and improve the adjustment accuracy without the control condition.