当舰船目标距离红外/可见光复合导引头较远的时候，红外与可见光图像中的目标信息微弱，可供提取的特征较少且差异较大，传统的图像配准算法很难适用.针对该问题，本文提出一种基于传感器参量的图像配准算法，首先根据红外与可见光传感器的成像模型将图像配准分解简化为视场配准与平移配准两个相对分离的步骤; 然后利用传感器参量进行图像的视场配准; 最后基于海天线和水平高通能量分布确定匹配点完成平移配准.仿真实验结果表明，该算法具有较高的配准准确度，可以应用于实际远距离海上舰船的红外和可见光图像配准.

When the ship target is far away from infrared/visible compound seeker, the target information and features are very weak which can be extracted from the infrared and visible images, and conventional image registration algorithms are hard to take effect on the registration of infrared and visible image with small target. To solve the problem, an infrared and visible image registration algorithm is presented based on sensor parameters. Firstly, according to the imaging model of compound seeker, the image registration is decomposed to two independent steps (field of view registration and shift registration). Secondly, the field of view for different sensors are registered using the sensor parameters. Finally, the shift registration is performed by matching point located based on horizontal high pass energy image and sea-sky line. The experimental results prove that the method is feasible and effective, and can be used in the actual registration of infrared and visible image with small ship target.