基于高分辨率快鸟(QuickBird)卫星立体影像,探讨了各种广义成像模型及改进模型的适用性,并在平行线中心投影模型基础上,提出了参数时间描述的平行线中心投影模型,认为该模型最适合描述快鸟影像的成像几何.同时进一步将其应用于上海地区快鸟立体像对,进行立体定位实验和精度分析.实验结果表明:参数时间描述的平行线中心投影模型的立体定位精度与经过补偿的有理函数模型的立体定位精度相近,平面定位精度可达亚像素级水平.
An investigation is carried out on the applicability of several main generalized sensor models for QuickBird high resolution satellite imagery. The time-variant parallel perspective model was proposed and proved to be the most suitable model to describe the imaging geometry of the QuickBird imagery. Stereo positioning experiments and accuracy analysis were then made by using the QuickBird stereo image pair in Shanghai district based on the proposed model. The results show that stereo positioning accuracy of the time-variant parallel perspective model is very close to that of the bias-compensated rational function model, and the planimetric positioning accuracy reaches sub-pixel level.