由于探测器本身固有的特性以及军事上的极限使用要求,红外图像普遍存在目标-背景间对比度较差、目标边缘模糊和噪声较大等特点,采用常规模板匹配、Hu矩方法难以取得理想的检测效果。针对低信噪比红外目标图像,分析了伪Zernike矩的基本原理、不变性和计算方法,提出了低信噪比红外目标检测的伪Zernike矩方法,并比较了模板匹配、Hu矩、伪Zernike矩方法的目标检测效果。理论分析和实验验证了该方法的有效性。 Because of the inherent characteristics of the detector itself and the military requirements of the extreme use, infrared images are ubiquitous target-background contrast is poor, the edge of the target is fuzzy and noise is larger, the conventional template matching, Hu moments method is difficult to obtain the ideal detection effect. For low SNR target images, the basic principle, invariance and calculation method of pseudo Zernike moment are analyzed. A pseudo Zernike moment method for detecting infrared signal with low signal-to-noise ratio is proposed. The template matching, Hu moments, pseudo Zernike Moment method of target detection effect. Theoretical analysis and experiments verify the effectiveness of this method.