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面向新型测绘产品质检用数据获取的GNSS 辅助无人机航摄技术

GNSS-assisted UAV aerial photography technology for obtaining data for quality inspection of new surveying and mapping products

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【作者】 张永利朱文超范业稳曲直

【Author】 ZHANG Yongli;ZHU Wenchao;FAN Yewen;QU Zhi;Surveying and Mapping Product Quality Supervision and Inspection Center of Guangdong Province;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University;

【通讯作者】 范业稳;

【机构】 广东省测绘产品质量监督检验中心武汉大学测绘遥感信息工程国家重点实验室

【摘要】 新型基础测绘的发展促使质检技术革新。本文基于新型测绘装备——无人机航空摄影系统研究了免像控获取新型测绘产品质检数据的技术。基于无人机航空摄影系统相关研究成果和航空摄影相关标准,探讨了航空摄影飞行参数与测绘产品数据精度之间的定量关系,给出了相应的数学模型;同时分析了GNSS辅助无人机航摄的3种模式,设计了大比例尺测绘产品质检用数据获取的免像控无人机航空摄影测量方案。以广东罗定为例进行试验,验证了数学模型设计的飞行参数结合GNSS辅助无人机航摄的方案是可行的,能够获取相应比例尺高精度质检用数据。

【Abstract】 The development of new basic surveying and mapping has driven the innovation of quality inspection technologies.This paper aims to study the technology of acquiring quality inspection data for new surveying and mapping products without ground control points based on a new-type surveying and mapping equipment-the unmanned aerial vehicle(UAV)aerial photography system.Based on the relevant research achievements of the UAV aerial photography system and the standards related to aerial photography, this paper discusses the quantitative relationship between aerial photography flight parameters and the data accuracy of surveying and mapping products, and presents the corresponding mathematical model.At the same time, it analyzes three modes of GNSS-aided UAV aerial photography, and designs a ground control point-free UAV aerial photogrammetry scheme for acquiring data used in quality inspection of large-scale surveying and mapping products.The feasibility of the scheme combining the flight parameters designed by the mathematical model with GNSS-aided UAV aerial photography has been verified through the experiment in Luoding, Guangdong, which can obtain high-precision quality inspection data corresponding to the scale.

  • 【文献出处】 测绘通报 ,Bulletin of Surveying and Mapping , 编辑部邮箱 ,2025年08期
  • 【分类号】P231
  • 【下载频次】36
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