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大疆无人机航测数据管理系统的设计与实现

Design and Implementation of Aerial Photogrammetry Data Management System for DJI UAV
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摘要 针对传统无人机航测数据的存储与管理工作中数据易混淆且安全性不高、管理费时耗力、数据质量无法及时评估等问题,本文首先通过研究影像的EXIF、XMP信息以建立无人机航测影像数据库;其次分析航测影像的投影方式进行航测路线及覆盖区域的空间可视化,继而根据影像重叠度计算方法自动生成航向/旁向重叠度以及时评估航测数据质量;最后基于以上研究定制开发大疆无人机航测数据管理系统。系统测试表明:该系统支持无人机航测数据从原始数据的入库存储、航测路线图和航测区域图的自动生成、航测影像质量及时评估到POS数据的多格式导出的流程化管理,实现了航测数据管理工作向管理数字化、空间可视化转变。 In view of the problems in the storage and management of traditional UAV aerial photogrammetry data,such as data confusion,low security,time-consuming and labor-consuming management,and unable to evaluate the data quality in time.Firstly,the UAV aerial photogrammetry image database is established by studying the EXIF and XMP information of the image.Secondly,the projection method of the aerial photogrammetry image is analyzed for spatial visualization of the aerial photogrammetry route and coverage area,and then the forward/side overlap degree is automatically generated according to the image overlap degree calculation method and timely evaluation of the aerial photogrammetry data quality.Finally,based on the above research,the aerial photogrammetry data management system of DJI UAV is customized and developed.The system test shows that the system supports the process management of UAV aerial photogrammetry data from the loading and storage of original data,the automatic generation of aerial photogrammetry route map and aerial photogrammetry area map,the timely evaluation of aerial photogrammetry image quality to the multi-format export of POS data,and realizes the transformation of aerial photogrammetry data management to management digitization and spatial visualization.
作者 马娇 蒲朝旭 MA Jiao;PU Chaoxu(Faculty of Geosciences and Environmental Engineering,Southwest Jiaotong University,Chengdu 611756,China;Faculty of Geosciences,Chengdu University of Technology,Chengdu 610059,China)
出处 《测绘与空间地理信息》 2023年第12期132-135,共4页 Geomatics & Spatial Information Technology
关键词 无人机航测 数据管理 空间可视化 质量评估 UAV aerial photogrammetry data management spatial visualization quality evaluation
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