Spatial–Spectral ConvNeXt for Hyperspectral Image Classification

Spatial–Spectral ConvNeXt for Hyperspectral Image Classification

Hyperspectral image (HSI) classification is a difficult task due to the heterogeneous spatial–spectral information, high-dimensionality, and noise effect in the HSI. Lately, an enhanced convolutional approach, i.e., ConvNeXt, has demonstrated a stronger feature representation capability t...

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Bibliographic Details
Main Authors: Yimin Zhu, Kexin Yuan, Wenlong Zhong, Linlin Xu
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
ConvNeXt
convolutional neural networks
deep learning
hyperspectral image classification (HSIC)
spatial–spectral ConvNeXt (SS-ConvNeXt)
Online Access:https://ieeexplore.ieee.org/document/10144309/

Internet

https://ieeexplore.ieee.org/document/10144309/

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