无人机低空遥感关键技术研究及应用  

Research and Application of Key Technologies of UAV Low Altitude Remote Sensing

作　　者：贾宝 张涛 苏春耀 禹旭 张磊 JIA Bao;ZHANG Tao;SU Chunyao;YU Xu;ZHANG Lei(Henan Institute of Surveying and Mapping,Zhengzhou 450003,China;Key Laboratory of Mines Spatiotemporal Information and Ecological Restoration,MNR,Jiaozuo 454003,China;Henan Remote Sensing Institute,Zhengzhou 450003,China)

机构地区：[1]河南省测绘院,河南郑州450003 [2]自然资源部矿山时空信息与生态修复重点实验室,河南焦作454003 [3]河南省遥感院,河南郑州450003

出　　处：《测绘与空间地理信息》2024年第11期67-70,74,共5页Geomatics & Spatial Information Technology

基　　金：国家自然科学基金项目(41001226);国家重点研发计划项目(2016YFC08033103)资助。

摘　　要：针对传统摄影测量软件精度差、效率低等问题,提出一种大区域低空无人机影像数据的快速几何处理方法。通过C++6.0,OPENCV和GDAL/OGR自主开发数据处理软件,对航空影像数据处理的相机标定、影像色彩和纹理处理、空三加密等关键技术细节进行优化和改造,实现无人机影像数据的高效规模化几何处理,并通过试验对数字化产品成果进行精度评价。结果表明,该方法可显著提高生产效率和成果精度,具有推广应用价值。Aiming at the problems of poor accuracy and low efficiency of traditional photogrammetric software,a fast geometric processing method for large area low altitude UAV image data is proposed.A data processing softwarewas independently developedbased on C++6.0,OpenCV and GDAL/OGR and the camera calibration,image color and texture processing,aerial triangulation and other key technical details of aerial image data processing were optimized and transformed to achieve efficient large-scale geometric processing of UAV image data,and the accuracy of digital product achievements was evaluated through experiments.The results show that the method can significantly improve the production efficiency and the accuracy of the resultsand has the value of popularization and application.

关 键 词：无人机 低空遥感 影像处理 空三加密 

分 类 号：P237[天文地球—摄影测量与遥感]