针对海上目标红外图像采集工作中硬件噪声与海面背景杂波带来的影响,以海上无人船视频导航避障系统为背景,对海上红外目标跟踪工作系统噪声进行分析,设计了一种相关去噪算法,完成了系统建模,并对参数进行了改进。然后对海上红外视频进行逐帧采样,对采样所得红外图像序列进行滤波,将滤波前后跟踪位置与目标真实位置的中心坐标进行对比,最后将本文算法处理结果与其他类似算法进行对比。实验结果表明,本文算法滤波后跟踪位置与真实位置基本重合,捕获率高于98%,跟踪误差小于1 mrad,相对于类似滤波算法,信噪比提升了10 dB。

Aiming at the influence of hardware noise and sea background clutter in the infrared images of marine targets, we analyze the noise of offshore infrared target tracking working systems based on the background of an offshore unmanned vehicle video navigation obstacle avoidance system, and design a related denoising algorithm. This algorithm completes the system modeling and improves the parameters. Then, the infrared video at sea is sampled frame by frame, and the sampled infrared image sequence is filtered. The tracking position before and after filtering is compared with the central coordinate of the target real position. Finally, the processing result of this algorithm is compared with other similar algorithms. Experimental results show that using the proposed algorithm, the tracking position after filtering basically coincides with the real position, the capture rate is higher than 98%, and the tracking error is less than 1 mrad. Compared with similar filtering algorithms, the signal-to-noise ratio is improved by 10 dB.