针对远距离红外小目标检测中复杂背景的抑制问题, 提出了一种空域-小波域联合滤波的方法。该方法在空域通过自适应结构元素的灰度形态学顶帽变换抑制大部分红外背景。在此基础上, 将处理空间变换到小波域, 通过分析残留背景、目标和噪声系数在高频子带的差异, 定义基于邻域均值的子带系数表达形式, 构造高频子带系数的中心向量, 对小波高频图像进行综合形成距离像, 得到红外复杂背景的最终抑制结果。仿真实验结果表明, 相对于经典算法, 该方法不但可以实现对红外复杂背景的有效抑制, 而且能够增强目标信号的强度。

To the complex background suppression problem in infrared small target detection over long distance, a method combining spatial filtering with wavelet filtering was presented.By using the gray-scale morphologic top-hat transform of adaptive structure element in the spatial domain, most infrared background was suppressed.On this basis, the processing space was transformed to the wavelet domain.By analyzing the difference of residual background, target and noise coefficients in high-frequency sub-band, the expression of sub-band coefficient based on neighbor average was defined, a center vector of high-frequency sub-band coefficient was constructed, and the wavelet high-frequency image was integrated to form a distance image, obtaining the final suppression result of infrared complex background.The experimental results show that: Compared with the classic algorithm, the method given here can not only effectively suppress the infrared complex background, but also strengthen the target signal intensity.