The invention relates to a severe weather image classification enhancement method based on a convolution model and feature fusion. The method comprises the following steps: S1, establishing a weatherimage set; s2, constructing an image classification fusion model; s3, training an image classification fusion model through the weather image set; s4, inputting weather images to be classified; s5, the image classification fusion model classifies the weather images to be classified to obtain image types of the weather images to be classified, if the image types are clear, the step S7 is executed,and otherwise, the step S6 is executed; s6, selecting an image enhancement algorithm corresponding to the image type to enhance the weather image to be classified, obtaining an enhanced image, and inputting the obtained enhanced image into the step S5 as the weather image to be classified; and S7, outputting a weather image. Compared with the prior art, the improved VGG16 model is adopted, traditional features and depth features are fused, the recognition accuracy is high, the corresponding algorithm is adopted to enhance the image, and the enhancement effect is good.