基于基追踪的SAR图像超分辨处理

Super-Resolution Processing of SAR Image by Basis Pursuit Method

研究SAR图像的超分辨处理方法对于提高图像质量具有重要意义。结合雷达成像的目标属性散射模型,利用信号原子分解办法得到了SAR成像的最优信号原子,提出了利用基追踪方法估计模型参数的SAR图像超分辨处理方法。该方法利用了稀疏性先验信息,理论上比传统的匹配追踪方法具有更优越的性能。仿真算例和MSTAR实测数据的处理结果表明,这种处理方法具有良好的超分辨性能。

By analyzing the target attributed scattering model of SAR imaging and based on lhe key idea of signal atom decomposition, the optimal signal atom of SAR imaging is obtained. The method of SAR super-resolution based on optimal signal atom and dictionary is presented. Simulation experiments and computational results of measured MSTAR data demonstrate that Basis Pursuit can provide super-resolution.