Frequency-Domain Feature Enhancement Combined with Contrastive Learning for Hyperspectral Image Open-Set Classification
Hyperspectral image classification typically assumes that training and test data belong to the same set of categories. However, in practical applications, unknown categories of ground objects frequently arise during the testing phase, a scenario known as open-set classification. In open-set classification, the high spe...