无线传感器网络技术在倾斜摄影测量中的应用研究

徐帅军

无线传感器网络技术在倾斜摄影测量中的应用研究

引用本文：徐帅军.无线传感器网络技术在倾斜摄影测量中的应用研究[J].计算技术与自动化,2025,(4):173-178

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作者	单位
徐帅军	（甘肃煤田地质局综合普查队，甘肃天水 741000）

中文摘要:针对传统的摄影测量平面化、精度低等问题，提出了一种基于无线传感网络技术的倾斜摄影测量方法。首先在无人机上搭载多个传感器、摄像机和无线通信设备对待测量地物进行摄影，利用搭载的窄带物联网和长距离低功耗无线数据通信技术等无线通信设备将采集到的影像和相关信息传输出去，对侧面影像进行光轴经纬度模拟，再结合尺度不变特征转换算子实现多视影像匹配，最后采用体素结构近似内蕴点云简化算法对迭代最近点算法进行改进，实现地物影像的点云配准，最终实现倾斜摄影测量。该方案能够立体地展示被测物的各项信息，测量精度高，抗干扰能力强，经过实验，匹配准确率高于97%，配准均方根误差有明显降低。

中文关键词:倾斜摄影测量 SIFT算子 ICP算法 AIVS算法无线传感器网络

Research on the Application of Wireless Sensor Network Technology in Tilt Photogrammetry

Abstract:Aiming at the problems of flatness and low accuracy of traditional photogrammetry, this study proposed a tilt photogrammetry method based on wireless sensor network technology. Firstly, multiple sensors, cameras and wireless communication equipment were equipped on the UAV to photograph the measured ground objects. Narrowband internet of things (NB-IoT) and narrowband low-power wireless data communication technology (Long Range LoRa) are used to transmit the captured images and related information, and simulate the latitude and longitude of the optical axis of the side image. Combining scale invariant feature transform (SIFT) operator to achieve more visual image matching, finally uses the voxel structure approximate intrinsic (approximate intrinsic voxel structure, The simplified AIVS) point cloud algorithm improves the iterative closest point (ICP) algorithm, realizes point cloud registration of ground object images, and finally realizes oblique photogrammetry. The scheme can display the information of the measured object in three dimensions, with high measurement accuracy and strong anti-interference ability. After experiments, the matching accuracy is higher than 97%, and the registration error of root mean square is significantly reduced.

keywords:tilt photogrammetry SIFT operator ICP algorithm AIVS algorithm wireless sensor network

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