DETECTING AND TRACKING DIM SMALL TARGET IN IMAGE SEQUENCES BASED ON WAVELET TRANSFORMS
一种基于小波变换的序列图像中小目标检测与跟踪算法

A fast algorithm is proposed for tracking low observable small targets in a digital image sequence. Wavelet transform is used for image filterting to improve SNR. Fixed sample size hypothesis testing is applied to generate tentative tracks which avoids target tracks missing. Target trajectories are confirmed by truncated sequential probability ratio test. The simulation results show that it can detect and track small targets efficiently with SNR<2dB.