In aerial foggy weather, the clarity and fidelity of the acquired images are easily degraded, and the target is difficult to be detected.To solve the problem, this paper proposes an image defogging method based on Gaussian weighted fusion dark channel images with different near and far views and boundary constraints.On the basis of the dark channel prior, a Gaussian weighting function is constructed with different weights for different distances.The Gaussian function can assign different weights to the positions in the dark channel map with different depths of field.Then the boundary constraints are used for rough estimation of scene transmittance, and context regularization is used for refining the scene transmittance and a more accurate transmission rate is obtained.Finally, the restored haze-free image is obtained.The experimental results show that the algorithm can effectively recover the contrast and real color of foggy images, and has strong robustness.