遥感信息 2015, 30(6) 71- DOI:   10.3969/j.issn.1000-3177.2015.  ISSN: 1000-3177 CN: 11-5443/P

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本文关键词相关文章
空三加密
倾斜航空影像
SIFT
计算机视觉
航空摄影测量
地面控制点
本文作者相关文章
PubMed
非量测相机倾斜航空影像空三加密精度评价
马晨|杨辽|池梦群|刘莹|郑宏伟
摘要: 鉴于倾斜空三加密及其精度评价工作的重要性,使用非量测型相机获取倾斜航空影像,利用计算机视觉的SIFT特征匹配算子对影像的空三加密进行改进,然后对加密结果进行精度评价。结果表明:对于人工构造物密集地区的立体影像,特征点的数量密集,空三加密精度倾斜影像检查点的精度相较下视影像精度高;影像的分辨率为10cm,量测结果平面x、y的中误差都在精度范围中,高程z值中误差略大;增加控制点数目后,平面x与y的精度明显提高。分析影响试验结果的误差来源有:航摄质量、控制点布设与量测精度、内业人员操作、区域网平差方法等。
关键词 空三加密   倾斜航空影像   SIFT   计算机视觉   航空摄影测量   地面控制点  
Accuracy Assessment of Oblique Aerial Images and Aerial Triangulation Measurement Based on Nonmetric Digital Camera
MA Chen|YANG Liao|CHI Mengqun |LIU Ying |ZHENG Hongwei
Abstract: Aerial triangulation is a crucial step in threedimensional (3D) modeling.The traditional photogrammetry cannot satisfy the requirement of 3D modeling in current commercial applications.However,recently,the rise of oblique photogrammetry has a good complement to the traditional aerial photogrammetry.In this paper,we proposed a novel approach based on the utilization of oblique aerial images taken by a group of nonmetric digital cameras.We improved the process of aerial triangulation via a SIFT matching computer vision approach in the first step.Secondly,we analyzed the accuracy of aerial triangulation as well as the sources of several errors which affect the result of the experiment.We found that feature points are dense when artificial structure areas on stereo images are few.The accuracy of the aerial triangulation and oblique aerial images is better than that of aerial images.Resolution of the image is 10 cm,error in plane x and y are in the range of precision,the elevation error is slightly larger in the z value;the precision of plane x and y has improved significantly after increase the number of control points.The sources of errors which affect the result of the experiment are quality of aerophotography,control points setting and accuracy in measurement,personnel operating,method of block adjustment,etc.
Keywords: aerial triangulation;oblique aerial image   SIFT   computer vision   aerial photogrammetry   ground control point  
收稿日期 2014-10-20 修回日期 2014-11-25 网络版发布日期 2015-12-14 
DOI: 10.3969/j.issn.1000-3177.2015.
基金项目:

千人项目(Y474161);国家863项目(2013AA122302)。

通讯作者: 马晨(1990—),女,硕士,研究方向为摄影测量与遥感。E-mail:sensen810@163.com
作者简介: 马晨(1990—)|女|硕士|研究方向为摄影测量与遥感。E-mail:sensen810@163.com
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