利用非制冷长波红外热像仪设计了红外图像拼接系统，提出可以应用于无人机平台的红外图像拼接方法。目前的红外图像拼接方法基本都是对经过亮度和对比度增强处理的图像进行拼接，当采集图像的场景不同时待拼接红外图像之间会存在亮度差异，导致最终拼接图像中存在明显接缝。为解决此问题，提出改进的红外图像拼接算法，对未经过亮度及对比度调整的14 bit 红外图像进行拼接，然后对拼接图像进行畸变校正，最后将14 bit 拼接图像通过平台直方图均衡算法压缩到8 bit 灰度范围显示，提高红外拼接图像的对比度。实验结果表明：当相邻两幅待拼接图像的重叠视场不小于单幅红外图像视场的15%时，该方法具有较好的场景适应性，可以实现红外图像无缝拼接，拼接图像重叠区域过渡平滑，畸变校正后的拼接图像更加符合真实场景。

An infrared image mosaic system is designed with uncooled long-wave thermal imaging cameras, and an infrared image mosaic algorithm is proposed, which can be applied to a UAV platform. Most infrared image mosaic methods are carried out on infrared images, which were processed with brightness and contrast enhancement methods. Thus, there is a brightness difference between the infrared images if the acquisition scenes are different, which results in obvious seams in the mosaic image. To solve the problem, the improved infrared image mosaic algorithm is put forward, which stitches 14 bit infrared images without brightness and contrast enhancement, and then corrects the distortion in the mosaic image. At last, the 14 bit infrared mosaic image is compressed to 8 bits by the platform histogram equalization algorithm to improve the image contrast. The experimental results show that when the field of the overlapping region between two infrared images is no less than 15% of the single infrared image view, the method can well realize seamless stitching for most scenes, the overlapping region is smooth, and the mosaic image can conform much better to the real scene after the distortion correction.