Hyperspectral image classification method and device and electronic equipment

The invention provides a hyperspectral image classification method and apparatus, and an electronic device. The method comprises the steps of obtaining a hyperspectral image data set; determining a training set, a support set and a query set based on the data set; using the sample data in the training set to train a two-channel twin network based on a convolution residual block and a space attention mechanism to obtain an initial classification model; inputting the sample data in the support set into the initial classification model for model parameter migration to obtain a hyperspectral image classification model; and inputting the sample data in the query set into the hyperspectral image classification model to obtain a classification result corresponding to each sample data in the query set. According to the method, effective information in limited samples is fully utilized, classification model training is carried out through the two-channel twin network based on the convolutional residual block and the s