现役主战轰炸机在夜间及复杂气象条件下无法观测目标，需要配备光电瞄准系统。为解决轰炸光电瞄准实现过程中多尺度图像融合这一关键技术问题，本文尝试通过融合多尺度边缘来达到融合图像信息的目的，在压缩被融合数据的同时，试图减小噪声对融合结果的影响。基于多尺度边缘表示理论，提出了一种针对轰炸光电瞄准的图像融合方法，并通过实验验证了该方法的有效性。结果表明，本文提出的基于多尺度边缘的图像融合方法对失配和噪声具有鲁棒性，为实现轰炸光电瞄准提供了理论基础。

Bombers in our army have not been equipped with the Electro-Optic Targeting Systems (EOTS), which cannot observe targets at night and as a result cannot conduct precise bombing with the all-optic targeting systems as their bombing targeting systems, so the EOTS is needed. To solve the problem of multiscale image fusion in the process of implement the EOTS, the purpose of image information fusion has been tried to achieve through the multiscale edge fusion. With the fusion data compression, the influence of noise on the fusion result has been tried to reduce at the same time. Based on the multiscale edge theory, an image fusion method for bombing EOTS is proposed, and the effectiveness of the proposed method is verified by experiment. Results show that the proposed image fusion method based on multiscale edge has robustness against mismatch and noise, and provides a theoretical basis for the realization of the bombing EOTS.