基于F.Leberl模型机载SAR影像联合平差

United Adjustment of SAR Imagery Based on F.Leberl Imaging Model

机载SAR影像定位时需要进行影像的联合平差,而传统的定位方法需要在地面控制条件较好的情况下才能进行平差。因此采用少量的地面控制点完成影像定位是我们需要研究的问题。论文基于F.Leberl构像模型研究了在控制点较少的情况下进行机载SAR影像联合平差的理论与方法。实验中分别对两景影像和四景影像进行联合平差,实验结果表明随着加密点数量的增加,加密点的精度有所提高,多景影像的联合平差可以减少地面控制点的数量,从而实现稀少控制点条件下的机载SAR影像高精度定位。

United adjustment of airborne SAR image is a foundation of image positioning.The traditional positioning method requires a lot of Ground Control Points（GCPs）in the adjustment.The problem of high accuracy of airborne SAR imaging positioning under sparse ground control need to be solved.The research on united adjustment of airborne SAR image has been made based on F.Leberl imaging model.Two experiments are conducted to prove the better accuracy of pass points and the decline number of GCPs when the number of pass points increases.This method can achieve high accuracy of airborne SAR image positioning in few GCPs.