Two-Stream Networks for Contrastive Learning in Hyperspectral Image Classification
In the domain of hyperspectral image (HSI) classification, the majority of deep learning methods have necessitated a substantial number of manually annotated samples to achieve outstanding results.However, the process of annotating HSI is conducted at the pixel-level, rendering it not only time-consuming but also financially burdensome.In light of