应用光电混合联合变换相关器对遮拦目标进行探测和识别时，由于复杂背景、低对比度、照明不足及目标不完整等因素，引起相关信息量缺失，获得的相关峰图像中相关点微弱，甚至根本得不到相关点.针对此现象，对遮拦目标的联合目标图像进行了自适应阈值处理，并对其经光电混合联合变换相关器所获得的功率谱进行了墨西哥帽小波变换处理.有效地抑制了遮拦目标在光电混合联合变换相关器中的噪声干扰，增强了遮拦目标和模板相关信息衍射光的能量，使在相关峰面上相关点的能量和对比度得到明显的增强，从而提高了应用光电混合联合变换相关器对遮拦目标进行探测和识别的能力.实验表明：自适应阈值处理和墨西哥帽小波变换处理相结合，能够很好地提高相关峰的能量和对比度，可实现遮拦目标的自动识别和探测.

The result of target recognition is always influenced by clutter background, low contrast and deficiency luminance of image. Besides the factors mentioned above, detection and recognition of partial masked target has the character of imperfection and information loss of target, which leads to recognition problem. All the harmful factors cannot make target recognition be realized by hybrid optoelectronic joint transform correlator due to the weak correlation peaks or even no peaks. Aiming at this phenomenon, partial masked target image in hybrid optoelectronic joint transform correlator is processed by the method of adaptive threshold, and power spectrum is processed by Mexican wavelet transform. The combination depresses the noise disturbance effectively and enhances the energy of diffractive light of obscuration target and reference template. This enhances the contrast and energy of correlation peaks of partial masked target and improves the ability of detection and recognition for partial masked target with joint transform correlator. The experimental results show that the combination of adaptive threshold and Mexican wavelet transform can improve the ability of detection and recognition for partial masked target with hybrid optoelectronic joint transform correlator effectively.