In a hazy environment,aerial photography equipment cannot accurately obtain image information.To solve this problem,an image dehazing algorithm with improved dark channel window and transmittance correction is proposed.Firstly,the hazy image is segmented by superpixel to obtain local windows with consistent depth of field,and the dark channel is calculated in each window.Meanwhile,the atmospheric light is estimated by using superpixel according to the characteristics of atmospheric light.Secondly,the transmittance is refined by guided filtering,and an adaptive tolerance mechanism is established to correct the transmittance of the bright area in the image.Finally,the atmospheric scattering model is inverted to restore a clear image.The experimental results show that the result of the algorithm is clear in detail and natural in color,and can handle multiple types of hazy images with better robustness.Compared with classical and novel algorithms,it has significant advantages.