研制了一种短波红外、中波红外和激光测距仪联合工作的图像融合系统。系统实现了全天时可透雾的远距离场景监控、远距离目标测距, 并能够检测1.06 μm和1.57 μm的激光光束。为了保证系统的融合图像质量, 提高配准精度, 提出了一种光轴平行度校正方法, 实现短波红外和中波红外图像的粗配准;提出了一种新的迭代优化方法, 通过寻找最优配准参数来获得最佳的融合性能, 采用基于人眼感兴趣区域的清晰度指标作为评价函数来完善配准过程, 采用粒子群优化算法解决联合优化问题, 实现短波红外和中波红外图像的精配准。实验结果表明该系统在远距离场景监控和战场态势感知等方面具有较大的应用潜力。

A kind of image fusion system which contained short wave infrared detection, medium wave infrared detection and laser ranging device had been developed. The system realized three functions which were remote scene monitoring, remote target ranging and detecting the laser beam at 1.06 and 1.57 μm bands during all day and through the fog. In order to ensure the fusion image quality of system and improve the registration accuracy, an optical axis parallelism correction method to realize the coarse registration between the short wave infrared image and medium wave infrared image has been proposed; a new iteration optimization method which found the optimal register parameters to get the best fusion results has been put forward. This method used definition index of the fusion image interesting region to improve the register process, and used particle swarm optimization algorithm to solve joint optimization problem and to realize the accurate registration. The experimental results demonstrated the potential of the system for applications like remote scene monitoring and battlefield situational awareness.