利用低空无人机飞控数据的摄影航带全自动整理方法  

Flight control data supported strip management for UAV photogrammetry

作　　者：袁辉[1] 胡庆武[1] 

机构地区：[1]武汉大学遥感信息工程学院,武汉430079

出　　处：《测绘科学》2013年第3期34-36,46,共4页Science of Surveying and Mapping

基　　金：国家重点基础研究发展计划(973计划)(2010CB723106);中央高校基本科研业务费专项资金;广西省教育部产学研结合项目(2011B090400163)

摘　　要：本文为低空无人机平台弱控制航摄影像建立符合航测处理要求的区域网,提出了基于无人机飞控数据的无人机影像航带整理技术;分析了无人机影像航测处理区域网构建要求,提出针对无人机航测处理的航带整理技术流程;设计了基于飞控姿态数据的无人机起降和转弯影像自动剔除算法,自动生成航带;并提出了基于飞控数据快速计算像片FOV算法,构建区域网内像对链接关系;对实际无人机航摄的两个测区进行航带整理实验,结果表明基于飞控数据可快速构建区域网,满足空三匹配和挑片测图要求。For UAV-based aerial triangulation, building a triangular network based on the aerial photogrammetry specifications is a key step for UAV photogrammetry processing. In this paper, an automatic method of strip management supported by flight control data was proposed for UAV photogrammetry processing. Firstly, the requirements of triangular network generation for UAV-based photogram- metry were analysed, and the procedure of strip management was proposed. Secondly, an image selection algorithm with UAV flight control attitude data supporting was proposed to pick up images during the UAV taking off, turning and landing which can not meet the specifications of aerial photogrammetry. Then the aerial strips were automatically generated with the UAV flight trajectory and image po- sition relationship. Thirdly, an image FOV calculation algorithm was proposed with the UAV flight position and orientation parameters to obtain the footprint of each image. Finally, experiments of two regions showed that the strip management, supported by flight control data, could accurately generate strip relationship to rapidly build the aerial triangular network on the requirements of aerial image matc- hing and stereo surveying.

关 键 词：低空无人机航摄 飞控数据 航带整理 区域网 

分 类 号：P231.2[天文地球—摄影测量与遥感]