基于多传感器集成建模的高精度实物指标航测方法研究

Aerial surveying method of highprecision physical indicators based on multisensor integrated model

为研究高效、高精度的植被实物指标测绘方法,本文提出首先将高清摄像镜头与激光雷达(LiDAR)镜头集成于同一个测绘模块,并利用航测无人机搭载该模块实现双镜头同频数据采集;其次,利用Python对实景三维建模过程与激光点云建模过程进行干预,并将实景三维模型与激光点云模型进行融合,将实景纹理与色彩投影到激光点云模型表面,构建更高精度、更符合实际情况的激光点云实景模型,从而提高测绘模型的精度与真实度;最后,通过模型误差检验,进一步论证了本文所述方法满足测绘成果精度要求,具有一定的研究意义和应用价值。

Firstly,highdefinition camera lenses and LiDAR integrated into the same surveying module was proposed in this paper to study efficient and highprecision methods for measuring vegetation physical indicators,and aerial surveying UAV equipped with this module was used to achieve dual lens and frequency data acquisition.Then,Python is used to intervene in the process of real 3D modeling and laser point cloud modeling,and the real 3D model is fused with the laser point cloud model.The real texture and color are projected onto the surface of the laser point cloud model to build a more accurate and realistic laser point cloud model,so as to improve the accuracy and authenticity of the surveying and mapping model.Finally,by model error testing,it is further demonstrated that the accuracy of the surveying results proposed in this paper meets the requirements,and has some research significance and application values.