提出了一种新的合成孔径雷达(SAR)超分辨成像方法。首先在图像域获得散射中心特征参数的初始估计，然后在相位历史域利用非线性回归模型的参数估计方法获得散射中心特征参数的高精度估计，最后依据相位历史域SAR点散射模型，生成更大尺度的相位历史数据，对得到的相位历史数据成像即得到了更高分辨率的SAR图像。仿真计算结果表明，该方法能够快速稳定实现，同时具有良好的超分辨性能。

A novel SAR super-resolution imaging method is described. Firstly, SAR image segmentation is carried out in the image domain and the coarse feature parameter estimation is obtained. Secondly, Parameter estimation of nonlinear regressive model is carried out in the phase history domain and the fine feature parameter estimation is obtained. Finally, in terms of SAR point-scattering model in the phase history domain, larger scale phase history data is built. By FFT imaging, higher resolution image is obtained. Simulation experiment results demonstrate that this method can be implemented speedy and stably, it can provide super-resolution at the same time.

TN958

2001年国家优秀博士论文作者专项基金项目(编号 200140)，国家自然科学基金(批准号 60272013)