FedDA-HSI: Federated Class-Aware Framework for Hyperspectral Image Classification With Diffusion Augmentation (opens in new tab)

Hyperspectral images (HSIs) have demonstrated remarkable potential in remote sensing applications due to their rich spectral and spatial characteristics. However, the scarcity of labeled HSI data from individual sources significantly hinders the deployment of deep learning models in this domain. Leveraging multisource HSI can mitigate single-source data limitations, but direct data sharing poses serious privacy challenges. Federated learning (FL) provides a compelling framework for privacy-pr...