基于显著性计算的高落差场景重建方法

doi:10.3778/j.issn.1002-8331.2309-0007

摘要/Abstract

摘要： 在面向城市高落差场景精准测量的广阔需求背景下，针对传统无人机倾斜摄影测量在复杂城区环境观测的局限性，提出了一种基于显著性最大值计算的无人机倾斜摄影测量方法。在对测区地形数据初始采集基础上，基于显著性最大值提取测区的峰值点，结合线形插值方法生成平滑地表高程模型，提出平面和断面采集位姿的计算方法，得到新的采集点相机位姿完成数据采集。选取美国波士顿的部分城区作为测区，涵盖多种功能类型和交通场景，进行了新方法和传统倾斜摄影测量方法的对比实验。实验结果表明，相较于传统倾斜摄影测量方法，基于显著性最大值的无人机倾斜摄影测量在保证飞行安全的基础上，能够有效地采集到测区实景的局部细节，精确性更高，更适用于高落差场景测量，实景三维模型的纹理信息、几何构造得到高质量的表达。

关键词: 无人机测量, 高落差场景, 显著性最大值, 三维模型

Abstract: Against the broad demand for accurate measurement of urban high-drop scenes, a UAV tilt photogrammetry method based on prominence maximum calculation is proposed to address the limitations of traditional UAV tilt photogrammetry in observing complex urban environments. Based on the initial acquisition of topographic data in the survey area, the process extracts the peak points of the survey area based on the maximum value of significance, combines the linear interpolation method to generate a smooth surface elevation model, and proposes the calculation method of the plane and cross-section acquisition position to obtain the camera position of the new acquisition point to complete the data acquisition. Part of the urban area of Boston, USA, is selected as the measurement area, covering a variety of functional types and traffic scenes, and a comparison test between the new method and the traditional tilt photogrammetry method is carried out. The results show that compared with the conventional tilted photogrammetry method, the UAV tilted photogrammetry based on prominence maximum computation can effectively collect the local details of the natural scene in the survey area based on ensuring flight safety with higher accuracy. Moreover, it is more suitable for the measurement of high dropout scenarios, so that the texture information and geometric structure of the actual scene 3D model can be described with high quality.

Key words: unmanned aerial vehicle measurements, high-drop scene, prominence maximum, three-dimensional modeling

郭敏, 王海晓, 高明星. 基于显著性计算的高落差场景重建方法[J]. 计算机工程与应用, 2025, 61(2): 372-382.

GUO Min, WANG Haixiao, GAO Mingxing. High-Fall Scene Reconstruction Method Based on Prominence Calculation[J]. Computer Engineering and Applications, 2025, 61(2): 372-382.

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