基于自适应侧抑制网络的红外弱小目标检测
Dim infrared target detection based on adaptive lateral inhibition network
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摘要: 为了提高远距离红外弱小目标的检测效率,提出了一种基于自适应侧抑制网络的复杂背景下的红外弱小目标检测方法。该方法建立了改进的侧抑制网络数学模型,利用各向异性滤波来自适应地确定侧抑制网络的抑制系数,不需要人为干预,实现了侧抑制网络与各向异性高斯滤波的有机结合。同时,在各向异性高斯滤波器两轴确定方面进行了改进,两轴分别采用对比度尺度模型和强度尺度传播模型来独立确定。通过与传统弱小目标检测方法的对比实验,验证了方法的有效性。Abstract: A method of dim infrared target detection in complex background based on adaptive lateral inhibition network is presented, in order to improve the efficiency of long-range dim infrared target detection. The lateral inhibition network math model is established, and anisotropic Gaussian filtering is used to determine the coefficient of the lateral inhibition network. The scale of the filter’s u-axes is determined by contrast-dependent-spread filter model, while the scale of the filter’s v-axes is determined by intensity-dependent-spread filter model. Compared with traditional test methods, the method can effectively suppress the background, while enhancing the target.
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