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无人机倾斜摄影测量与GNSS土方量测算精度对比分析 被引量:14

Comparative analysis of UAV oblique photogrammetry and GNSS earthwork measurement accuracy
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摘要 为了对比分析无人机倾斜摄影测量与GNSS的土方量测算精度,本文利用无人机倾斜摄影测量与GNSS测量分别获取研究区数据。通过无人机影像建立研究区三维模型,并使用中误差评定模型精度。提取高精度三维模型高程点绘制三维曲面模型,比对分析曲面模型精确度。通过区域土方量平衡法设计标高,使用DTM法计算GNSS测量数据所得土方量为真值。使用DTM法、方格网法和DEM法计算无人机测量数据的土方量,并与真值进行对比分析,最大误差由DEM法计算产生,为146.6m^(3),误差比例为1.70%。结果表明,无人机倾斜摄影测量数据精度可靠,能够满足大比例尺测量精度要求,并且计算的土方量具有较高的精度,证明无人机倾斜摄影测量的土方量测算在生产建设中具有可行性与可靠性。 In order to compare and analyze the earthwork measurement accuracy of UAV oblique photogrammetry and GNSS,this paper uses UAV oblique photogrammetry and GNSS measurements to obtain area data.The 3 D model of the study area is established by the UAV image,and the model accuracy is assessed using medium error.Extract the high-precision 3 D model elevation points to draw the 3 D surface model,and compare the accuracy of the surface model.The elevation is designed by the regional earthwork balance method by using the DTM method to calculate the GNSS measurement data.DTM method,grid net method and DEM method are used,and compared with the true value.The maximum error is generated by DEM method,146.63 and the percentage error of 1.70%.The results show that the accuracy of UAV oblique photogrammetry data is reliable,which can meet the accuracy requirements of large scale measurement,and ensure that the calculated earthwork quantity has high accuracy,which proves that the earthwork measurement of UAV oblique photogrammetry is feasible and reliable in production and construction.
作者 盛海泉 覃婕 周吕 劳建雄 谢佳佳 SHENG Haiquan;QIN Jie;ZHOU Lü;LAO Jianxiong;XIE Jiajia(College of Geomatics and Geoinformation,Guilin University of Technology,Guilin 541004,China;Natural Resources and Real Estate Registration Center of Guangxi Zhuang Autonomous Region,Nanning 530029,China)
出处 《测绘通报》 CSCD 北大核心 2022年第S02期310-315,共6页 Bulletin of Surveying and Mapping
基金 广西科技计划项目(桂科AD19110107) 国家自然科学基金(42064003)
关键词 无人机 倾斜摄影测量 工程测量 三维建模 土方量 UAV oblique photogrammetry engineering measurement 3D modeling earthwork volume
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