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

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

A novel spectral–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/

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