Application of cross-correlation algorithm in moving target range-gated three-dimensional laser active imaging

In low-light imaging, range-gated imaging is an effective method to obtain the 3D information of the target. As for the static targets, the different strobe distance target image can be obtained by the target slice imaging, and then the 3D image of the target is obtained by binary algorithm or centroid algorithm. For moving targets, in the same time of slice imaging, the spatial position of the target will change. Therefore, it is necessary to register different distance image before it can get a three-dimensional image of the object. Firstly,the range-gated ICCD experimental system was bulit, and mutual information image registration algorithm based on image quality evaluation was proposed for the image target registration. Then the 3D laser image was obtained by cross-correlation algorithm and the image number of laser image was gradually reduced on the basis of ensuring accuracy. Finally, the experiment of 3D reconstruction was carried out compared with the binary algorithm and centroid algorithm. Experimental results show that mutual information registration algorithm can effectively match laser image, mutual correlation algorithm for 3D imaging accuracy is higher than the binary method and centroid method. The 3D image can be obtained by using the two images, greatly reducing the difficulty of moving targets three-dimensional imaging.