建立了红外小目标图像的场景模型,分析了小目标情况下图像预处理的特点,根据这些特点对预处理技术进行了分类描述。为了评价预处理结果,定义了两个评价参数———信噪比和背景抑制因子。实验结果表明,不同的预处理方法具有不同的应用范围,只有根据图像特点选择合适的预处理方法,才能取得理想的预处理效果。 The scene model of infrared small target image is established. The characteristics of image preprocessing in the case of small target are analyzed. Pretreatment techniques are classified and described according to these characteristics. In order to evaluate the preconditioning results, two evaluation parameters were defined - signal-to-noise ratio and background suppression factor. The experimental results show that different pretreatment methods have different applications. Only by selecting the appropriate pretreatment method according to the characteristics of the image can the ideal pretreatment effect be achieved.