Abstract: The merit in adapting a Graph Neural Network (GNN) for image analysis is that it can capture long-range dependencies between distant parts of the image. This is particularly important in ...
Abstract: Deep learning methods have shown promising results in various hyperspectral image (HSI) analysis tasks. Despite these advancements, existing models still struggle to accurately identify fine ...