Julien Mairal

Mar 4, 2024 | ieeexplore.ieee.org | Julien Mairal |Jocelyn Chanussot |Lichao Mou |Xiao Zhu

Abstract:In recent years, deep learning has emerged as the dominant approach for Hyperspectral Image (HSI) classification. However, deep neural networks require large annotated datasets to generalize well. This limits the applicability of deep learning for real-world HSI classification problems, as manual labeling of thousands of pixels per scene is costly and timeconsuming.