POS数据的上下视差误差源检测及误差补偿回归模型

摘要

分析POS数据存在系统误差的主要原因，推导基于POS的立体像对相对定向模型，建立POS系统误差回归补偿模型。三个不同比例尺测区试验数据的结果表明：POS系统提供的外方位元素中角元素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，从而证明该补偿模型的正确性与可行性。%Main reason of the ex relative orientation is deduced stenceof systematic error of POS data is analyzed. Error equation of POS-based Regression model to compensate the systematic error of POS is established. Three sets of aerial images in different scales with POSdata are used for experiments. 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 proposed regression model can significantly decrease vertical parallax. Accuracy of geo-referencing is considerably improved without block adjustment. Satisfying experimental results verify the correctness and feasibility of the proposed regression model.