车载前视地表穿透成像雷达(VFGPIR)探测系统获取的单帧图像中浅埋小目标的信噪比(SNR)通常较低，导致单帧图像的检测性能很差。利用VFGPIR系统可在不同观测位置对空间同一区域进行多次成像的特点，提出一种基于VFGPIR序列图像的非相干距离多视处理方法，通过距离子带分割和迭代操作实现在线多视处理，并推导了多视图像和单视图像检测概率、虚警概率与SNR之间的关系以及确定多视视数的公式。实测数据处理结果表明：非相干距离多视处理可明显增加目标SNR，很好地抑制相干斑噪声。该方法在明显改善图像质量、提高检测性能的同时，降低计算量。

Buried small targets usually have a very low signal-to-noise ratio(SNR) in a single frame image obtained by the vehicle-mounted forward-looking ground-penetrating imaging radar(VFGPIR) system.This will lead to poor detection performance of the single image.One special property of a forward-looking detection system is that the same spatial location is usually observed for multiple times,each at different sand-off distances,as the vehicle moves ahead.Thus a non-coherent range multi-look accumulation method is presented by exploiting the sequence image obtained by VFGPIR in this paper.The range multi-look processing can be achieved on line by using the distance sub-band partition and iterative operation techniques.The relationship of detection probability,false alarm probability and SNR between the multi-look image and the single image is derived,and the formulation to determine the accumulative frame number is given.Experimental results of the real data show that the SNR of targets is obviously improved and the speckle is also well suppressed after the multi-look processing.Moreover,the proposed approach can obviously improve the quality of image and the detection performance while having a relatively small computational load.