期刊文献+

摆扫式倾斜影像数据处理关键问题研究

Key Problems Research on the Whiskbroom Scanned Oblique Image Data Processing
下载PDF
导出
摘要 A3摆扫式成像摄影测量,具有大像幅、高效率、高精度等特征,对于国家级、省级地理信息快速更新具有十分重要的意义。本研究以A3摆扫式影像为研究对象,研究基于粗略外方位元素的仿射不变特征匹配,并采用RANSAC算法进行匹配对提纯,提高匹配精准度。且充分利用摆扫规律以及摆扫宽基线的优势,提出带权观测值光束法平差模型,并通过选权迭代剔除粗差点,实现垂直与倾斜影像的高精度联合光束法区域网平差。 A3 can obtain the whiskbroom scanned oblique image and A3 has the characteristics of large image amplitude,high efficiency and high precision,which is of great significance for the rapid updating of national and provincial geographic information.This research takes A3 whiskbroom scanned oblique image as the research object,studies affine invariant feature matching based on rough exterior orientation elements,and uses RANSAC algorithm to optimize matching pairs to improve matching accuracy.The beam adjustment model with weighted observations is put forward by making full use of the swing sweep law and the advantages of swing sweep wide baseline.The coarse errors are eliminated by weight selection iteration,and the high-precision joint beam method area network adjustment of images is realized.
作者 刘金沧 黎治坤 王英谋 李翔 郭雨晴 Liu Jincang;Li Zhikun;Wang Yingmou;Li Xiang;Guo Yuqing(Surveying and Mapping Institute Lands and Resource Department of Guangdong Province,Guangzhou,China;Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China,Ministry of Natural Resources,Guangzhou,China;Guangdong Science and Technology Collaborative Innovation Center for Natural Resources,Guangzhou,China;Wuhan TianJiHang Information Tchnologies Inc.,Ltd.,Wuhan,China)
出处 《科学技术创新》 2023年第8期17-21,共5页 Scientific and Technological Innovation
基金 优化基于高分辨率下视航空影像生产建成区三维地理场景技术研究 无人机视频数据实时快速三维建模研究 面向应急测绘保障服务的多级联动协同规划机制探索。
关键词 A3 摆扫式倾斜影像 仿射不变特征 光束法平差 A3 the whiskbroom scanned oblique image affine invariant feature bundle adjustment
  • 相关文献

参考文献4

二级参考文献39

  • 1袁庆,楼立志,陈玮娴.加权总体最小二乘在三维基准转换中的应用[J].测绘学报,2011,40(S1):115-119. 被引量:45
  • 2刘明,刘钢,李友一,匡海鹏,修吉宏,翟林培.航空相机的像移计算及其补偿分析[J].光电工程,2004,31(B12):12-14. 被引量:24
  • 3朱庆,吴波,万能,徐志祥,田一翔.具有良好重复率与信息量的立体影像点特征提取方法[J].电子学报,2006,34(2):205-209. 被引量:14
  • 4STRECHA C, FRANSENS R, VAN GOOL L. Wide-baseline Stereo from Multiple Views: A Probabilistic Account[A]. Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition [ C ]. Washington : [ s. n. ] ,2004. 552-559.
  • 5MIKOLAJCZYK K, SCHMID C. Scale & Arlene Invariant Interest Point Detectors [ J ]. International Journal of Computer Vision, 2004, 60( 1 ) : 63-86.
  • 6MIKOLAJCZYK K, TUYTELAARS T, SCHMID C. A Comparison of Affine Region Detectors[ J]. International Journal of Computer Vision, 2005, 65 ( 1 ) : 43-72.
  • 7MATAS J, CHUM O, URBAN M. Robust Wide-baseline Stereo from Maximally Stable Extremal Regions[ A]. Proceedings of the British Machine Vision Conference [ C ]. Cardiff: [ s. n. ], 2002. 384-393.
  • 8MIKOLAJCZYK K, SCHMID C. A Performance Evaluation of Local Descriptors[ J ]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2005, 27(10) : 1615-1630.
  • 9LOWE D G. Distinctive Image Features from Scale-invariant Keypoints [ J ]. International Journal of Computer Vision, 2004, 60(2) : 91-110.
  • 10ZHU Q, WU B, XU Z X. Seed Point Selection Method for Triangle Constrained Image Matching Propagation [ J ]. IEEE on Geoscience and Remote Sensing Letters, 2006, 3 ( 2 ) : 207- 211.

共引文献91

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