| 一种无人机影像实时增量平差镶嵌算法 |
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| 引用本文： | 程锟锟,于秀娟,苏伟.一种无人机影像实时增量平差镶嵌算法[J].北京测绘,2020(2):199-203. |
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| 作者姓名： | 程锟锟 于秀娟 苏伟 |
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| 作者单位： | ;1.北京吉威时代软件股份有限公司;2.解放军某部装备项目管理中心 |
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| 基金项目： | 国家重点研发计划资助项目(2016YFC0803000) |
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| 摘 要： | 当前无人机已成为空间信息获取的重要手段,可作为航空摄影测量系统的有益补充。但无人机数据量大、姿态稳定性差、排列不规则等缺点给快速处理带来较大难题。本文利用运动恢复结构SFM方法中的增量平差技术,借助初始POS实现无人机影像的快速实时处理,并利用GPU技术对平差后影像进行实时纠正和虚拟镶嵌展示。试验表明,增量平差和实时纠正镶嵌技术能大大缩短影像处理时间,可满足灾害应急响应时对影像进行实时处理、快速获取现场灾情信息的需求。
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| 关 键 词： | 无人机 运动恢复结构 增量平差 实时 |
A Real-time Incremental Adjustment Mosaic Algorithm for UAV Images |
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| CHENG Kunkun,YU Xiujuan,SU Wei.A Real-time Incremental Adjustment Mosaic Algorithm for UAV Images[J].Beijing Surveying and Mapping,2020(2):199-203. |
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| Authors: | CHENG Kunkun YU Xiujuan SU Wei |
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| Institution: | (Beijing GEOWAY Software Company Limited, Beijing 100043, China;Equipment Management Center of a certain department of the People’s Liberation Army, Beijing 100043, China) |
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| Abstract: | At present,UAV have become the important means of acquiring spatial information and can be used as a useful complement to aerial photogrammetry systems.However,the shortcomings such as large data volume,poor attitude stability,and irregular arrangement of UAV bring great difficulties to fast processing.In this paper,the incremental bundle adjustment technique in the SFM method of motion recovery structure is used to realize the real-time processing of UAV images with the initial POS,and the GPU technology is used to perform real-time correction and virtual mosaic display of the adjusted images.Tests show that for each additional image,the average processing time of the incremental bundle adjustment is less than the shooting interval,and the incremental bundle adjustment has the advantages of high stability,high automation,fast speed,etc.,and has great advantages in the emergency handling of emergencies. |
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| Keywords: | Unmanned Aerial Vehicle(UAV) motion recovery structure incremental bundle adjustment real-time |
| 本文献已被 CNKI 维普 等数据库收录！ |
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