基于一种改进的微波全息探地雷达合成孔径的成像算法

摘要

The synthetic aperture image processing aimed to the two-dimensional echo data of ground penetrating radar, can improve image resolution and better pinpoint to underground target for real images. In ground penetrating radar imaging algorithms, the microwave holographic synthetic aperture imaging algorithm has advantages of high resolution and imaging ifdelity. But the large amount of computation and slower, a microwave holographic synthetic aperture imaging algorithm is proposed based on image segmentation, it can overcome the shortcoming that the traditional microwave holography synthetic aperture imaging algorithm is slowly, and keep the advantages of high resolution and image fidelity. The simulation processes and makes comparison with the measured data, the results show the feasibility and fast of this approach.%为了解决微波全息合成孔径成像算法运算量大，速度较慢的缺点，本文提出了一种基于图像分割的微波全息合成孔径成像算法，它能克服传统微波全息合成孔径成像算法的运算慢的缺点并保持了其分辨率高、成像逼真的优点。本文首先把探地雷达图像用图像分割的方法去除背影图像，其次在运算时，只对分割出来的目标图像进行运算，这样就减少合成孔径运算量，实现快速合成孔径成像。通过仿真处理并与实测数据做对比，所得的结果证明了这种方法的可用性和快速性。