一种基于小波变换的序列图像中小目标检测与跟踪算法

DETECTING AND TRACKING DIM SMALL TARGET IN IMAGE SEQUENCES BASED ON WAVELET TRANSFORMS

该文提出了一种快速检测序列图像中低信噪比(<2dB)小目标的算法。采用小波滤波器对每帧图像滤波,提高目标的信噪比,降低了低信噪比小目标检测算法的运算量;采用固定长度的假设检验算法,生成起始航迹,有效地避免航迹的漏检;采用截断序贯似然比检验,形成确认航迹。仿真结果表明应用此算法,可快速实现信噪比小于2dB的小目标(2×2)的检测与跟踪。

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.