Deep Collaborative Attention Network for Hyperspectral Image Classification by Combining 2-D CNN and 3-D CNN

Deep learning-based methods based on convolutional neural networks (CNNs) have demonstrated remarkable performance in hyperspectral image (HSI) classification. Most of these approaches are only based on 2-D CNN or 3-D CNN. It is dramatic from the literature that using just 2-D CNN may result in miss...

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Detalhes bibliográficos

Principais autores:	Hao Guo, Jianjun Liu, Jinlong Yang, Zhiyong Xiao, Zebin Wu
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2020-01-01
Colecção:	IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Assuntos:	Convolutional neural network (CNN) feature extraction hyperspectral image classification multilayer feature fusion spatial attention mechanism
Acesso em linha:	https://ieeexplore.ieee.org/document/9167434/
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