基于联合平动补偿的InISAR 成像方法研究

图像配准是干涉逆合成孔径雷达(InISAR)成像的关键步骤。针对传统InISAR 三维成像方法在图像配准步骤计算量过大、限制条件过多等问题,提出了一种基于联合平动补偿的InISAR 三维成像算法。该算法通过距离向和方位向的联合平动补偿,在得到二维逆合成孔径雷达(ISAR)图像的同时,完成了不同ISAR 图像的精确配准。与传统的基于相关图像配准的三维成像方法相比,该算法简单易行,计算效率更高。仿真结果验证了不同信噪比条件下该算法的有效性和稳健性。

A Study on InISAR Imaging Based on Joint Translational Compensation

Image registration is a key step in InISAR imaging. In order to solve the problem that conventional InISAR 3D imaging methods need too much computation and too many restrictions in image registration step, a InISAR 3D imaging algorithm based on joint translational compensation is proposed in this paper. Through the joint translation compensation of range and cross-range, the accurate registration of different ISAR images is completed while obtaining the two-dimensional ISAR images. Compared with the traditional three-dimensional imaging method based on correlation image registration, the algorithm is simple to implement with less computation and higher efficiency. The simulation results verify the effectiveness and robustness of the proposed algorithm under different SNR conditions.