基于卫星参数预测的高分辨率光学影像精确定位方法

High Resolution Satellite Imagery Geo-Referencing without Ground Control Points Based on Prediction

提出了一种基于预测的无地面控制点的高分辨率光学影像的精确定位方法。该方法利用了待校正遥感影像相邻景的成像参数，同时建立预测模型，内插或外推待校正遥感影像的成像参数，从而通过共线方程模型实现无地面控制点的高分辨率遥感影像地理定位．文中利用QuickBird影像进行实验，取得了4～5个像元校正精度。

A new method of high resolution satellite imagery geo-referencing without ground control points （GCPs） is proposed. That is, the imaging parameters of consecutive imagery are calculated to establish the prediction formula and then to forecast the imaging parameters of high resolution imagery. Thus the rigorous model is introduced to precisely locate imagery. The QuickBird imagery is tested and the geo-referencing accuracy reaches 4～5 pixels.