Jayson Boubin

Efficient Unsupervised Deep Band Selection for Hyperspectral Imagery: A Comparative Study With Mamba-Based Classification

Band selection is a critical step in processing hyperspectral imagery (HSI); reducing input dimensionality allows models to mitigate redundancy, enhance computational efficiency, and improve learning accuracy. Efficient unsupervised deep-learning-based band selection methods have recently garnered immense attention due...