Fisher-LDA-Based Infrared Small Target Detection in Wavelet Domain

A novel method for fusion detection of infrared small target based on fisher linear discriminant analysis in wavelet domain is presented in this paper. The proposed method consists of two processes. In the first process: a fisher linear discriminant vector is firstly obtained through fisher linear discriminant analysis model based on target and background samples. And then the vector is converted to a linear filter. In the second process: First, every frame of image sequence is decomposed by the discrete wavelet frame. Second, the approximation with level 2 is filtered by the linear filter obtained in the first process. Third, filtered images of three consecutive frames are fused to accumulate the energy of target of interest and greatly reduce false alarms. Finally the segmentation method based on image complexity is utilized to extract the small target. Real infrared image sequences under complex sea and sky background are applied to validate the proposed method. Experimental results show that the proposed approach is efficient and robust.