提出一种使用振幅调制和功率谱相减的联合变换相关器（ＪＴＣ）作多目标检测。这一方法对联合功率谱作了修正，先将联合功率谱减去纯输入景物的功率谱和参考图象的功率谱，再将所得修正的联合功率谱（ＪＩＳ）乘以振幅调制滤波（ＡＭＦ）函数。分析和量化了输入景物噪声对联合变换相关器性能的影响。这种方法比条纹调节的联合变换相关器和修正的条纹调节的联合变换相关器能产生更好的相关输出和适应输入景物噪声的能力。 A joint transform correlator (JTC) using amplitude modulation and power spectral subtraction is proposed for multi-target detection. This method amends the joint power spectrum by first subtracting the power spectrum of the purely input scene from the power spectrum of the reference image and multiplying the resulting modified combined power spectrum (JIS) by amplitude modulation filtering (AMF )function. The influence of the input scene noise on the performance of the joint transform correlator is analyzed and quantified. This approach produces a better correlation output and adapts to the input scene noise than a coherent transform correlator for fringe adjustment and a modified fringe adjustment joint transform correlator.