Hyperspectral image classification method and device and electronic equipment

The invention provides a hyperspectral image classification method and device and electronic equipment, and relates to the technical field of image processing, and the method comprises the steps: obtaining a to-be-classified hyperspectral image; inputting the hyperspectral image into an image classification model to obtain a classification result corresponding to the hyperspectral image; wherein the image classification model is a classification model which is trained through transfer learning and is based on an improved global prototype segmentation framework; the improved global prototype segmentation framework comprises an improved global prototype representation learning strategy, namely a SegNet feature extraction network optimized by introducing a global prototype representation learning strategy with supervised comparative learning and a nearest neighbor algorithm classification network; the SegNet feature extraction network is used for extracting spatial-spectral features of the hyperspectral image; t