Auto-focus for Compressively Sampled SAR
Auto-focus for Compressively Sampled SAR
复制标题
DOI：
--
复制
发表时间：
2012-05
期刊：
影响因子：
--
通讯作者：
Steven Kelly;Mehrdad Yaghoobi;Michael Davies
中科院分区：
文献类型：
--
作者：
Steven Kelly;Mehrdad Yaghoobi;Michael Davies
本文研究了相位误差对压缩采样SAR孔径的影响。我们表明，标准的自动聚焦方法，这是作为一个后处理步骤，通常是不适合压缩采样SAR。而不是应用自动对焦作为后处理器，我们提出使用一个稳定的算法，这是基于字典学习文献的算法，在重建过程中纠正相位误差，并发现经验是有效的恢复稀疏SAR图像。
We investigate the effects of phase errors on a compressively sampled SAR aperture. We show that the standard methods of auto-focus, which are used as a post-processing step, are typically unsuitable for compressively sampled SAR. Instead of applying auto-focus as a post-processor we propose using a stable algorithm, which is based on algorithms from the dictionary learning literature, that corrects phase errors during the reconstruction and is found empirically to be effective at recovering sparse SAR images.