期刊文献+

基于飞行姿态校正的无人机影像快速拼接

UAV Image Fast Mosaic Based On the Flight Attitude Correction
下载PDF
导出
摘要 针对传统影像拼接方法需要地面控制点支持或不能较好地适应无人机影像变形特性的问题,提出一种基于飞行姿态校正的无人机影像快速拼接方法。该方法通过构建无人机姿态角几何校正模型纠正原始影像,选择计算复杂度较低的改进Harris算法提取角点特征完成影像匹配和拼接。实验表明,新的方法能够较好地抵抗无人机飞行姿态变化较大带来的影响,性能稳定,拼接速度快、效果好。 In order to solve the problems in traditional image mosaic methods which need ground control point or cannot a- void the effects of Unmanned Aerial Vehicle (UAV) image distortion, the authors propose an improved UAV image mosaic meth- od in this paper. It corrects the original image by setting up UAV geometric correction model and choses the improved Harris algo- rithm with lower computational complexity to extract features and realize image matching and mosaic. The experimental results show that the improved method can resist against the effects of significant change of flight attitudes. Besides the performance is stable and the mosaic is fast and with high quality.
出处 《测绘科学与工程》 2015年第1期47-54,共8页 Geomatics Science and Engineering
关键词 无人机影像 姿态校正 快速拼接 UAV image attitude correction fast mosaic
  • 相关文献

参考文献10

  • 1周洁萍,龚建华,王涛,汪东川,杨荔阳,赵向军,洪宇,赵忠明.汶川地震灾区无人机遥感影像获取与可视化管理系统研究[J].遥感学报,2008,12(6):877-884. 被引量:59
  • 2宫阿都 何孝莹 雷添杰 等.无控制点数据的无人机影像快速处理.地球信息科学学报,2010,:254-260.
  • 3Wu ChienTing, Hsiao ChengYang, Chen ChunSung. An Assessment of Errors Using Unconventional Photogram- metric Measurement Technology - with UAV Photo- graphic Images as an Example [ J ]. Journal of Applied Science and Engineering,2013,16( 2 ) : 105 - 116.
  • 4LI Chang-chun1, ZHANG Guang-sheng1, LEI Tian-jie2, 3, GONG A-du2, 3 1. School of Surveying & Land Information Engineering, Henan Polytechnic University, Jiaozuo 454000, China,2. Key Laboratory of Environmental Change and Natural Disaster, Ministry of Education, Beijing Normal University, Beijing 100875, China,3. Ministry of Civil Affairs/Ministry of Education of China Academy of Disaster Reduction and Emergency Management, Beijing Normal University, Beijing 100875, China.Quick image-processing method of UAV without control points data in earthquake disaster area[J].中国有色金属学会会刊:英文版,2011,21(S3):523-528. 被引量:14
  • 5李峥.缺少控制点的无人机遥感影像几何校正技术研究[D].成都,电子科技大学,2010.
  • 6吴俣,余涛,谢东海.面向应急响应的无人机图像快速自动拼接[J].计算机辅助设计与图形学学报,2013,25(3):410-416. 被引量:13
  • 7Fabio Remondino, L Barazzetti, Francesco Nex, et al. UAV Photogrammetry for Mapping and 3D Modeling- current Status and Future Perspectives [ J ]. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ,20! 1 ( 38 ) : 1 - 7.
  • 8姚国标,杨化超,张磊.宽基线立体影像Harris-Laplace特征的最小二乘匹配算法[J].测绘科学,2011,36(6):141-143. 被引量:3
  • 9杨化超,张书毕,张秋昭.基于SIFT的宽基线立体影像最小二乘匹配方法[J].测绘学报,2010,39(2):187-194. 被引量:35
  • 10Fischler MartinA. , Bolles RobertC.. Random Sample Consensus:A Paradigm for Model Fitting witil Applica- tions to Image Analysis and Automated Cartography[ J ]. Communications of the ACM, 1981,24(6) :381 -395.

二级参考文献53

共引文献117

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部