传统的三维激光点云单点定位精度评定模型仅通过测距值、测角值及仪器的测距、测角精度对点位精度进行评价,但当物体外观呈现不规则形状时,会对入射光束的反射路径、强度等产生影响,进而影响点云数据的质量,因此传统模型对点位精度的评价是不全面的。故从目标物体的外观形状对扫描精度的影响入手,提出顾及光束入射角的点位精度评定模型,用于定量评价点云数据质量,并通过实验分析,验证该模型的可行性。
Abstract
Traditional model for assessing the single point cloud data’s quality is incomprehensive because only distance values, angle values and instrument’s measuring accuracy are taken into consideration. But the appearance of irregular object will affect the incident beam’s reflected path and strength, and thus affect the quality of the point cloud data. According to the appearance’s effect on the point cloud data’s quality, we propose a point accuracy assessment model in consideration of incident angle to quantitatively assess the point cloud data’s quality, and verify the model’s feasibility through experiment.
关键词
三维激光扫描 /
点云数据 /
光束入射角 /
点位精度 /
评定模型
Key words
3D laser scanning /
point cloud data /
incident angle /
point accuracy /
assessment model
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参考文献
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基金
国家自然科学基金资助项目(41174010);精密工程与工业测量国家测绘局重点实验室开放基金项目(PF2011-7);中央级科研院所基本业务费专项资金项目(CKSF2014038/GC)
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