S<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>DCN: Spectral&#x2013;Spatial Difference Convolution Network for Hyperspectral Image Classification

S<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>DCN: Spectral&#x2013;Spatial Difference Convolution Network for Hyperspectral Image Classification

A novel spectral&#x2013;spatial difference convolution network (S<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>DCN) is proposed for hyperspectral image (HSI) classification, which integrates the difference principle into the deep l...

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Bibliographic Details
Main Authors: Zitong Zhang, Hanlin Feng, Chunlei Zhang, Qiaoyu Ma, Yuntao Li
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
detail feature
difference convolution
hyperspectral image (HSI) classification
Online Access:https://ieeexplore.ieee.org/document/10380319/

Internet

https://ieeexplore.ieee.org/document/10380319/

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