New Method for Infrared Dim Target Detection Based on Wavelet and SVR

By analyzing dim target and background characteristics from infrared images,a new detection method based on the wavelet transform and the support vector regression adaptive filter(WTSVRAF) was presented.With this method,the wavelet transform is used to inhibit the majority of background clutter.Then the SVR-based adaptive filter(SVRBAF) is adopted to treat high-frequency wavelet coefficients.As a result,the image signal-to-noise ratio(SNR) is greatly improved.Furthermore,based on the continuity of the target and the coherence of trajectory,the image sequence processing method is utilized to further improve the detection performance.The simulation results show that the detection method can significantly increase the probability of infrared target detection to achieve long-range target detection.