摘要
距离徙动校正插值处理是距离多普勒域(RD)算法的重要步骤,图像校正中的斜地变换也需要插值处理,插值处理会对图像引入插值误差。该文分析了距离徙动校正和斜地变换的原理,推导出一种把两种处理结合实现的方法,该方法通过一次插值处理完成距离徙动校正和斜地变换。与传统的实现方法相比,该方法减少了图像中由于插值处理引入的误差,提高了图像处理的精度,并且很大程度上减少了运算量。采用机载SAR原始数据验证了该算法的有效性。该算法对于高分辨率SAR的大量数据的实时成像处理,具有较大的应用价值。
The interpolation for Range Cell Migration Correction (RCMC) is an important step in Range Doppler (RD) algorithm. The Slant Range to Ground Range (SRGR) conversion also needs interpolation approach. The interpolation introduces errors to SAR imagery. The principles of RCMC and SRGR are analyzed in this paper. An efficiently associative algorithm of RCMC and SRGR is developed. The associative algorithm needs interpolation for RCMC and SRGR only once. Compared with the conventional implements, it has less interpolation error than conventional implements, improves the precision of image processing and reduces the computation load largely. Simulation results on real-world airborne SAR raw data show that the proposed algorithm outperforms the conventional implements. For better precision and less computation cost, the associative algorithm is helpful to real-time implementation for the high resolution SAR data imaging.
出处
《电子与信息学报》
EI
CSCD
北大核心
2009年第5期1099-1102,共4页
Journal of Electronics & Information Technology
关键词
合成孔径雷达
距离徙动校正
斜地变换
插值处理
Synthetic Aperture Radar(SAR)
Range Cell Migration Correction (RCMC)
Slant Range to Ground Range (SRGR) conversion
Interpolation approach