With the development of remote sensing technology, the application of hyperspectral images is becoming more and more\nwidespread. The accurate classification of ground features through hyperspectral images is an important research content and\nhas attracted widespread attention. Many methods have achieved good classification results in the classification of hyperspectral\nimages. This paper reviews the classification methods of hyperspectral images from three aspects: supervised classification,\nsemisupervised classification, and unsupervised classification.
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