HyperTransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Hyperspectral Image Classification

HyperTransXNet: Learning Both Global and Local Dynamics with a Dual Dynamic Token Mixer for Hyperspectral Image Classification

Recent advances in hyperspectral image (HSI) classification have demonstrated the effectiveness of hybrid architectures that integrate convolutional neural networks (CNNs) and Transformers, leveraging CNNs for local feature extraction and Transformers for global dependency modeling. However, existin...

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Bibliographic Details
Main Authors: Xin Dai, Zexi Li, Lin Li, Shuihua Xue, Xiaohui Huang, Xiaofei Yang
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Remote Sensing
Subjects:
convolution neural network (CNN)
hyperspectral image classificationg
transformer network
mamba network
Online Access:https://www.mdpi.com/2072-4292/17/14/2361
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