LFSMIM: A Low-Frequency Spectral Masked Image Modeling Method for Hyperspectral Image Classification
LFSMIM: A Low-Frequency Spectral Masked Image Modeling Method for Hyperspectral Image Classification is a scholarly work, published in 2024 in ''IEEE Geoscience and Remote Sensing Letters''. The main subjects of the publication include image, artificial intelligence, computer science, computer vision, remote sensing, Full spectral imaging, pattern recognition, contextual image classification, and hyperspectral imaging. The authors specifically focus on the reconstruction targets and feature modeling capabilities of the Vision Transformer (ViT) to address the limitations of MIM methods in the HS domain.