基于属性散射中心模型的SAR目标重构可视化增强方法

摘要

It has important meaning for Synthetic Aperture Radar (SAR) interpretation to estimate parameters from measured SAR data and visualize the SAR imagery. For the linearity of IFFT, single scattering center can be individually imaged adaptively to form an overall image. Thus, the side effects of side lobes and windowing can be decreased and the quality of the SAR imagery can be improved. The efficiency of the method is confirmed by the test based on the simulated data.%基于属性散射中心模型对实测 SAR 数据进行参数估计，利用参数估计的结果对实测 SAR 目标重构可视化增强对于辅助 SAR 解译人员进行判别具有重要的意义。该文提出了一种新的可视化增强方法，利用成像操作(IFFT)的线性特征，在参数估计的基础上，基于属性散射中心模型分别对各个散射中心自适应成像，最后叠加重构整幅SAR图像。实验结果表明，该方法可以有效提高目标重构的可视化效果。