Image Domain Space-variant Post-processing for Wavefront Curvature Correction in Polar Format Spotlight SAR Image

MAO Xin-hua; ZHU Dai-yin; YE Shao-hua; ZHU Zhao-da

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Image Domain Space-variant Post-processing for Wavefront Curvature Correction in Polar Format Spotlight SAR Image

更新时间：2025-07-16

- Image Domain Space-variant Post-processing for Wavefront Curvature Correction in Polar Format Spotlight SAR Image
- Acta Electronica Sinica Vol. 38, Issue 1, Pages: 244-250(2010)
- 作者机构：
  
  1. 南京航空航天大学信息科学与技术学院,江苏,南京,210016
  2. 中国雷华电子技术研究所,江苏,无锡,214063
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN957
- Published：2010
- 稿件说明：
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MAO Xin-hua, ZHU Dai-yin, YE Shao-hua, et al. Image Domain Space-variant Post-processing for Wavefront Curvature Correction in Polar Format Spotlight SAR Image[J]. Acta Electronica Sinica, 2010, 38(1): 244-250.
DOI：

MAO Xin-hua, ZHU Dai-yin, YE Shao-hua, et al. Image Domain Space-variant Post-processing for Wavefront Curvature Correction in Polar Format Spotlight SAR Image[J]. Acta Electronica Sinica, 2010, 38(1): 244-250. DOI：

摘要

极坐标格式算法（PFA）波前弯曲误差分析是对波前弯曲进行有效补偿的基础，以往波前弯曲误差推导过程中都对差分距离采用了二阶近似，在对大场景范围进行近场、高分辨率成像时已不能满足要求.本文采用新的方法对波前弯曲误差进行了精确的推导，得到了波前弯曲误差在空间频域的二阶泰勒展开表达式.利用推导的波前弯曲误差公式，在PFA图像域通过空变滤波和几何失真校正分别对二次和一次相位误差进行补偿，极大地改善了波前弯曲对PFA成像场景大小的限制.最后通过仿真数据处理验证了分析结果.

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