Small sample hyperspectral image classification method, system and device and storage medium

The invention discloses a small sample hyperspectral image classification method, system and device and a storage medium, and the method comprises the steps: converting a source domain image and a target domain image into a 3D cube with a pixel as a center, unifying the data of the source domain and the target domain into the same number of channels, and obtaining the processed data of the source domain and the target domain; based on the processed source domain and target domain data, extracting local embedding features and global embedding features of the image, based on the spatial and spectral embedding features of the image, calculating the distance between each category of unlabeled samples and labeled samples in the source domain to execute source domain small sample learning, and executing target domain small sample learning; and classifying the test samples of the target domain to obtain a classification result. According to the method, the space and spectrum information can be fully extracted, the u