介绍了红外图像弱小目标探测的研究背景与技术难点，并对空域滤波法、变换域滤波法、时域滤波法三类典型红外图像弱小目标探测算法进行综述，并对空域滤波法、变换域滤波法中常用目标探测算法以及边缘分割方法进行实验分析。实验结果表明,这三类红外图像弱小目标探测算法各有优缺点，具体目标探测算法的选取受目标特征和背景特征影响较大。并简述了红外图像弱小目标探测技术的发展趋势。

The background and technical difficulties of infrared small target detection are introduced. Three types of small infrared target detection algorithms are summarized, such as spatial-domain filtering, transform-domain filtering and time-domain filtering. The common target detection method and edge segmentation method of spatial-domain filtering and transform-domain filtering are analyzed through experiments. Experimental results show that three types of small infrared target detection algorithms have both advantages and disadvantages. Selecting specific target detection algorithm is more affected by the target and background feature. And the development trend of small infrared target detection is discussed briefly.