一种实用的空地红外时敏弱小目标检测方法

A Practical Air-Ground Infrared Time-Sensitive Weak and Small Target Detection Method

针对空地背景下的红外时敏弱小目标检测,提出了一种实用的空地红外时敏弱小目标检测方法。首先,采用快速自适应双边滤波对红外图像进行预处理,平滑边缘信息,消除噪声干扰;其次,使用模板为3×3大小的高通滤波器对红外图像进行大面积背景抑制;然后,根据梯度特征,采用多步八向梯度法进一步消除高频背景信息;最后,使用自适应阈值分割的方法对红外时敏弱小目标进行提取。实验结果表明,所提方法对空地背景下的红外时敏弱小目标检测具有较好的鲁棒性和检测性能。

Aiming at infrared time-sensitive weak and small target detection in air-ground background a practical detection method is proposed.Firstly the fast adaptive bilateral filter is used to preprocess the infrared image so as to smooth the edge information and eliminate the noise.Secondly the high-pass filter with a template of 3×3 is adopted to suppress the large-area background of the infrared image.Then according to the gradient characteristics the multi-step eight-direction gradient method is applied to further eliminate the high-frequency background information.Finally the adaptive threshold segmentation method is used to extract the infrared time-sensitive weak and small targets.The experimental results show that the proposed method has good robustness and performance for infrared time-sensitive weak and small target detection in air-ground background.