Abstract: Label noise in real-world datasets poses a significant challenge for deep neural networks, particularly in image classification tasks, where it disrupts learning and degrades performance.

Abstract: Hyperspectral image (HSI) analysis critically relies on band selection (BS) to reduce dimensionality, improve classification accuracy, and minimize computational costs. Despite recent ...