一种基于惯导信息的多普勒波束锐化图像拼接算法

通过多普勒波束锐化(Doppler Beam Sharpening, DBS)图像拼接可得到大范围的地面场景图像。然而实际中雷达平台的非理想运动(载机速度矢量和姿态的变化)会造成DBS图像拼接困难。为解决此问题，该文提出了一种有效的DBS图像拼接方法。首先利用惯导信息估计载机瞬时位置和雷达波束指向，然后将它们转化到初始时刻定义的参考坐标系下，得到图像校正参数。最后利用这些参数，完成图像拼接。实测数据的处理结果表明该文方法不仅较好地补偿了载机运动误差，而且与传统方法相比可以更好地改善DBS数据的拼接性能。

A Novel Algorithm for Stitching Doppler Beam Sharpening Images Based on INS Information

By stitching Doppler Beam Sharpening(DBS) images together,a wide swath ground image is obtained.In practice,however,there are some difficulties in stitching due to the nonideal movement(variation of the velocity vector and the attitude) of the radar platform.To deal with these problems,a novel method is proposed,which can stitch the DBS images effectively.The Interial Navigation System(INS) information is employed to estimate the instantaneous position of the aircraft and the radar beam direction,both of which are then transformed to the original reference coordinate so that the corrected parameters of the image can be obtained.Finally,by using these parameters,the image stitiching is achieved.Processing results of measured data show that the proposed method not only compensates the motion error excellently,but also significantly outperforms the traditional algorithm in stitching performance.