基于无人机影像的精细化滑坡体建模研究

Research on fine landslide modeling based on UAV images

由于滑坡地质灾害通常发生在地形陡峭地区,地表条件复杂且高度落差大,传统的无人机调查方法往往存在控制点无法有效布设、测量误差增大等问题。为有效提升调查精度,本文针对滑坡体特殊的地形特征,分析误差产生的原因,提出一种基于垂直面航线规划结合降落式静态测量的精度提升方法,有效降低因高度落差大以及控制点缺失而产生的误差,并通过实验对比分析不同测量方法的误差情况。实验结果表明,本文提出的研究方法,针对性强且适应性好,能够有效提升测量精度,为滑坡体的高质高效调查提供了一种可靠的应用方法。

Because landslide geological disasters usually occur in steep terrain areas,the surface conditions are complex and the height drop is large.The traditional UAV survey method,there are often some problems,such as the ineffective layout of control points and the increase of measurement error.In order to effectively improve the survey accuracy,according to the special topographic characteristics of landslide,this paper analyzes the causes of errors,and puts forward an accuracy improvement method based on perpendicular route planning combined with landing static measurement,which can effectively reduce the errors caused by large height drop and lack of control points.The errors of different measurement methods are compared and analyzed through experiments.The experimental results show that the method proposed in this paper has strong pertinence and good adaptability,can effectively improve the measurement accuracy,and provides a reliable method for high-quality and efficient investigation of landslide mass.