测绘学报

• 学术论文 •    

POS数据的上下视差误差源检测及误差补偿回归模型

张永军1,熊金鑫2,熊晓东1,邓继伟3   

  1. 1. 武汉大学
    2. 武汉大学遥感信息工程学院
    3. 铁道第三勘察设计院集团有限公司
  • 收稿日期:2010-06-28 修回日期:2010-11-26 出版日期:2011-10-25 发布日期:2011-10-25
  • 通讯作者: 熊金鑫

Determination of Main Error Source on Vertical Parallax of POS Data and Research of Regression Model

  • Received:2010-06-28 Revised:2010-11-26 Online:2011-10-25 Published:2011-10-25

摘要: 本文分析了POS数据存在系统误差的主要原因,推导了基于POS的立体像对相对定向模型,建立了POS系统误差回归补偿模型。三种不同比例尺测区影像的试验结果表明:POS系统提供的外方位元素中角误差是引起模型上下视差的主要误差源;利用回归补偿模型对POS数据进行改正后模型上下视差明显减小;在无需区域网平差的情况下,直接通过相对定向消除POS系统误差,定位精度有较大提高,从而证明了该补偿模型的正确性与可行性。

Abstract: Main reason of the existence of systematic error of POS data is analyzed. Error equation of POS-based relative orientation is deduced. Regression model to compensate the systematic error of POS is established. Three sets of aerial images in different scales with POS data are used for experiment. Experimental results show that the systematic error of angular elements in POS data is the main error source which causes large vertical parallax. Compared with original POS data, the POS data corrected by the regression model can significantly decrease vertical parallax. Accuracy of geo-referencing is considerably improved without block adjustment. Satisfying result of experiment verifies the correctness and feasibility of the regression model.