Integrating Multiscale Spatial–Spectral Shuffling Convolution With 3-D Lightweight Transformer for Hyperspectral Image Classification

The combination of convolutional neural networks and vision transformers has garnered considerable attention in hyperspectral image (HSI) classification due to their abilities to enhance the classification accuracy by concurrently extracting local and global features. However, these accuracy improve...

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Bibliographic Details

Published in:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Main Authors:	Qinggang Wu, Mengkun He, Qiqiang Chen, Le Sun, Chao Ma
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Convolutional neural networks (CNNs) hyperspectral image (HSI) classification multimetric adaptive learning rate (MALR) 3-D lightweight transformer (3DLT)
Online Access:	https://ieeexplore.ieee.org/document/10850760/