基于图像熵的探地雷达Kirchhoff偏移成像算法

Kirchhoff Migration Imaging Algorithmof Ground Penetrating Radar Based on Image Entropy

Kirchhoff偏移成像是一种能有效提升探地雷达方位分辨率的算法,但在实际应用过程中,复杂多变的探测环境使得波速参数很难预先获知,成像效果难以得到保障。针对这一问题,提出一种基于图像熵的探地雷达Kirchhoff偏移成像算法,该算法对波速变化具有很好的适应性。同时,利用GPRMax软件仿真的实验数据对算法进行了验证,实验结果表明,所提算法波速估计精度高,成像效果好。

Kirchhoff migration imaging is an effective algorithm to improve the azimuth resolution of Ground Penetrating Radar(GPR).However,in the practical application process,the complex and changeable detection environment makes it difficult to know the velocity parameters in advance,and the imaging effect is difficult to be guaranteed.To solve this problem,a Kirchhoff migration imaging algorithm of ground penetrating radar based on image entropy is proposed.The algorithm has good adaptability to the variation of wave velocity.The algorithm is validated by the experimental data simulated by GPRMax software.The experimental results show that the velocity estimation accuracy of the proposed algorithm is high and the imaging effect is good.