According to the larger false alarm rate resulted from fluctuant clutter, a novel method combined with bilateral filter and local entropy is proposed for infrared small target detection in this paper. Firstly, the original image is respectively processed by bilateral filter and local entropy, and then the two processed images are fused by point product to generate the background suppression map. Secondly, the guided filter is used to further suppress the background and enhance the small target in the map. Thirdly, the small target is detected by the adaptive threshold in the filtered map. The theoretical analyses and experimental results show that the proposed method not only effectively suppresses the clutter background, depending on the edge preserving and denoising characteristics of bilateral filtering, but also effectively highlights the small target, relying on the sensitivity of local entropy to the abrupt gray region. Compared with other methods, it is demonstrated that the proposed method owns lower false alarm rate and higher detection rate.

中文翻译：

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双边滤波与局部熵相结合的红外小目标检测方法

针对波动性杂波产生较大的误报率，提出一种结合双边滤波和局部熵的红外小目标检测新方法。首先，通过双边滤波和局部熵分别对原始图像进行处理，然后将两个处理后的图像按点积进行融合，以生成背景抑制图。其次，使用导引滤镜进一步抑制背景并增强地图中的小目标。第三，通过滤波后的映射中的自适应阈值来检测小目标。理论分析和实验结果表明，所提出的方法不仅有效地抑制了杂波背景，还取决于双边滤波的边缘保留和去噪特性，而且还依靠局部熵对突变的灰色区域的敏感性，有效地突出了小目标。与其他方法相比，表明该方法具有较低的误报率和较高的检测率。