基于SAR图像的目标散射中心特征提取方法研究

针对SARATR需要,基于属性散射中心模型,研究了从SAR图像提取目标散射中心特征的方法。该方法首先从SAR图像分割出包括单个散射中心响应的目标区域,然后判断该区域对应的散射中心的类型,最后再采用相应的参数模型进行参数初值选择和数字优化,从而得到对应该区域的目标散射中心特征。通过循环执行上面的步骤,就可以从SAR图像提取出目标所有散射中心特征。仿真结果表明,该算法具有良好的估计性能。

Research on the Extracting Method of the Scattering Center Feature from SAR Imagery

To meet the need of SAR ATR, based on attributed scattering center model, the extracting method of the scattering center feature from SAR imagery is studied. The method first extracts region including only one scattering center from SAR image by segmentation. Then, the type of the scattering center of the region is chosen. Finally, the initialized values of the parameter are selected and digital optimization is executed by the utilization of the corresponding parameter model of the scattering center, and the scattering center of the target in this region is gotten. By following theses steps repeatedly, all scattering centers of the target can be extracted. Results from simulation show that the algorithm has good estimate performance.