基于小波变换和管道滤波的红外空中小目标检测

针对空中远距离红外小目标检测的实际问题，提出了一种基于小波变换和管道滤波的检测算法。该方法利用小波变换的优良性质，通过分析噪声系数、背景边缘系数和目标系数在尺度间的不同特性，计算各个信号在尺度间的相关系数并归一化。按照自适应阈值法对噪声和背景边缘系数进行抑制，进而通过反变换得到抑制背景增强目标的图像。结合目标面积信息选择适当阈值，对重构图像进行分割生成单帧检测结果。基于目标运动的连续性和噪声的随机性，通过分别设置目标检测和位置变化门限，利用改进管道滤波完成小目标检测过程。试验结果表明，提出的算法能够准确地检测目标，相对于通常的小目标检测算法，该算法在背景抑制方面具有一定的优势，能够获得相对较高的信噪比。

Detection of aerial small target in infrared image based on wavelet transform and pipeline filter

In order to solve the practical problem of the infrared small target's detecting in the sky,an algorithm based on the wavelet transform and pipeline filter is proposed.Taking advantage of the excellent property of the transform,this algorithm analyzes the different property of the wavelet coefficients of noise,background edge and signal,then computes the normalized correlation coefficients between scale for the transform coefficients.According to the adaptive method of threshold,the coefficients of backgrou...