LCTNet: Lightweight Convolution-Transformer Network for Hyperspectral Image Classification

Deep learning models, especially hybrid models combining convolutional neural networks (CNNs) and Transformer, introduce new ideas for hyperspectral image (HSI) classification. However, the complex structure and high spectral dimension of HSI data often affects classification accuracy and computatio...

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Bibliografiske detaljer

Principais autores:	Zaoping Zhong, Chengbin Liang, Ming Yang, Deguang Wang
Format:	Artigo
Sprog:	Inglês
Udgivet:	IEEE 2026-01-01
Serier:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Fag:	Convolutional neural network (CNN) hyperspectral image (HSI) classification lightweight structure transformer
Online adgang:	https://ieeexplore.ieee.org/document/11397638/
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