为了提高红外图像序列中弱小目标的信噪比和检测概率，同时考虑检测算法实时性，提出了一种新的基于空时域滤波的小目标检测方法。
To improve the Signal-to-noise Ratio(SNR) and detecting probability of small target in infrared image sequences, a novel method of target detection based on spatial-temporal filtering is proposed.
其次，利用小波多分辨分析特性，提出了基于小波分析的自适应门限检测方法，有效地提高了红外弱小目标检测性能。
Secondly, a new method of infrared weak and small targets detection based on wavelet and adaptive threshold is proposed with an effective improvement detection of performance.
针对红外图像中运动弱小目标的检测问题，本文提出了基于顺序形态滤波的小目标检测方法，并给出了具体算法。
To resolve the detection of moving small target in infrared image sequences, a new small target detection method based on order morphology filtering is presented, and the detailed algorithm is given.
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