针对由于合成孔径雷达(SAR)图像几何失真的空变性,传统的多项式模型与距离多普勒模型精度不高的问题,文中提出了结合距离多普勒模型和空变的多项式模型的少量控制点精确重构模型。该模型从距离多普勒方程出发,通过优化地面控制点的方位向分布建立空变的多项式模型,实现SAR图像的高精度重构。实验数据表明:在少量控制点情况下,文中的重构模型精度高于传统的距离多普勒模型和多项式模型。

In view of the low accuracy of the traditional polynomial model and range-Doppler model because of the variability of the geometric distortion of synthetic aperture radar (SAR) images, a reconstruction model is proposed combining the range-Doppler model and space-variant polynomial model with small number of control points. Starting from the range-Doppler equation, a spacevariant polynomial model is established by optimizing the azimuth distribution of ground control points to realise high-precision reconstruction of SAR images. SAR geometric positioning obtains the geodetic coordinates of each pixel in a SAR image. The results show that the accuracy of the proposed reconstruction model is higher than the traditional range-Doppler model and polynomial model with a small amount of ground control points.

TN958