关键词: 红外小目标, 小波变换, 尺度间相关系数, 管道滤波, 背景抑制, 信噪比

Abstract: 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 background edge and noise are suppressed and then the image which included the enhanced target is acquired by the inverse transform.Taking the target area into account，the reconstructed image is partitioned and the detecting result of single frame is obtained.Based on the continuity of target’s moving and the randomicity of noise，the detecting procedure is finished by the improved pipeline filter which sets the threshold of detection and position change respectively.Experimental results show that the method given by this paper can detect small target accurately.Compared with some traditional method，it has certain advantage in background suppressing and can acquire high SNR（signal noise ratio） value.

Key words: infrared small target, wavelet transform, correlation coefficient between scale, pipeline filter, background suppression, signal noise ratio