一种高精度的DBS图像拼接算法

High precision stitching algorithm for the DBS image

由于载机平台的非理想运动(载机姿态与载机位置的变化),多普勒波束锐化(Doppler Beam Sharpening,DBS)图像的拼接质量受到较大影响.笔者建立了一种针对运动误差的仿射校正模型,并在此基础上提出一种基于仿射变换的DBS图像校正拼接算法.该算法首先对载机姿态与载机位置引起的误差同时进行校正以消除子图之间的错位与间断,然后对子图像进行拼接.仿真结果与实测数据表明,该算法在不增加计算复杂度的前提下,可有效校正载机的运动误差,实现DBS子图的高精度拼接.

The stitching quality of the Doppler Beam Sharpening （DBS） image will be greatly affected due to the non-ideal movement of the radar platform （variation in attitude and position）. This paper presents a correction model for the movement error. A novel method based on affine transformation is proposed, which can correct and stitch the DBS image effectively. By compensating the variation in attitude and position simultaneously, the discontinuity could be eliminated. Subsequently, the sub-image is stitched together. Simulation analysis and measured data results show that the algorithm can correct the motion error and stitch the sub-images effectively without increasing the computational complexity.