摘要
针对机载LiDAR数据处理中IMU安置角误差检校问题,该文提出一种基于共面约束的自动检校方法。从激光点云中自动提取尖顶房屋顶平面,并建立连接平面关系,基于激光脚点坐标计算公式和共面约束条件,通过平差解算得到IMU安置角误差参数。以Riegl Q780获取的数据进行实验,该方法检校结果与RiProcess软件提供的检校参数非常接近。经过误差改正后,相邻航线获取的点云可以很好地重合在一起。相对于人工选择特征地物进行IMU安置角误差检校,该方法可以大大提高检校的效率和可靠性。
This paper proposed a method for automatic bore-sight calibration which is a key step in air- borne LiDAR data processing. Planar patches of gable roof buildings are extracted from point cloud data and conjugate planes are found automatically, then the bore-sight angle errors are calculated through itera- tive adjustment based on airborne LiDAR geo-referencing equation and co-planar constrains. Point cloud data obtained by Riegl Q780 was used in the experiment. The bore-sight parameters obtained by this meth- od are very close to what were calculated by the RiProcess software. And the calibrated point cloud scanned by adjacent strips can coincide together. Compared with the bore-sight calibration method by extracting fea- tures manually, this approach can greatly improve the efficiency and reliability.
出处
《测绘科学》
CSCD
北大核心
2017年第9期98-103,共6页
Science of Surveying and Mapping
基金
国家自然科学基金项目(91125003)
