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数字近景影像上标志点精确定位方法研究
引用本文:倪翠,叶勤,刘世杰,童小华,周德意,孙智.数字近景影像上标志点精确定位方法研究[J].遥感信息,2007(3):14-19.
作者姓名:倪翠  叶勤  刘世杰  童小华  周德意  孙智
作者单位:1. 同济大学,测量与国土信息工程系,上海,200092
2. 同济大学,测量与国土信息工程系,上海,200092;同济大学现代工程测量国家测绘局重点实验室,上海,200092
3. 同济大学,土木工程防灾国家重点实验室,上海,200092
基金项目:国家重点实验室基金;国家自然科学基金;教育部长江学者和创新团队发展计划;教育部高校科技创新工程重大项目
摘    要:本文研究数字近景图像上标志点的精确定位问题,具体围绕两张桥梁悬索模型数字近景图像进行人工标志点的定位研究。在比较现有标志点定位方法特点的基础上,提出了一种新的近景标志点定位的方法。针对所研究的图像,比较各方法特点并进行单个标志点实验,得出各方法的优缺点。利用可行的两种方法对两张近景影像上的所有标志点定位,通过直接线性变换解算像片参数和检验点坐标,根据两种定位方法以及目视定位的解算结果,比较各方法的精度,得出结论———本文所提出的定位方法精度较高,采用该方法进行标志点定位,可提高像片解算的精度。

关 键 词:标志点定位  霍夫变换  最小二乘法  直线拟合  边缘检测
文章编号:1000-3177(2007)91-0014-06
修稿时间:2006-12-072007-01-09

High Accuracy Location Method of Marking Sign in Digital Close-range Image
NI Cui,YE Qin,LIU Shi-jie,TONG Xiao-hua,ZHOU De-yi,SUN Zhi.High Accuracy Location Method of Marking Sign in Digital Close-range Image[J].Remote Sensing Information,2007(3):14-19.
Authors:NI Cui  YE Qin  LIU Shi-jie  TONG Xiao-hua  ZHOU De-yi  SUN Zhi
Affiliation:1 Department of Surveying and GeoIn f ormatics , Tongji University, Shanghai 200092 ; 2 State Key Lab for Disaster Reduction in Civil Engineering, Tongji University, Shanghai 200092 3 Key Lab of Advanced Engineering Survey of SBSM , Tongji University, Shanghai 200092
Abstract:This article studies high-accuracy positioning of the marking signs in the digital close-range images.Research is carried out on the artificial marking signs in two images of the bridge cable models.Based on the comparison of the existed methods,a new one to position these signs is proposed.The experiment is carried out using single marking sign and all methods,then compare them to know their characters.After that,position all the signs in the images with three feasible methods.Use the method of direct linear transformation(DLT) to calculate the camera parameters and coordinates of the marking signs.Compare various methods by the obtained result of precision.Then the conclusion is drauwn that the precision of method this article proposed is much higher than others.So the precision of the result of the images can be enhanced after using proposed in this article method.
Keywords:sign location  Hough transformation  method of least square  linear fitting  edge detection
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