Spatial-Spectral Transformer for Hyperspectral Image Classification

Recently, a great many deep convolutional neural network (CNN)-based methods have been proposed for hyperspectral image (HSI) classification. Although the proposed CNN-based methods have the advantages of spatial feature extraction, they are difficult to handle the sequential data with and CNNs are...

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Autors principals:	Xin He, Yushi Chen, Zhouhan Lin
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2021-01-01
Col·lecció:	Remote Sensing
Matèries:	classification convolutional neural network (CNN) hyperspectral image (HSI) Transformer
Accés en línia:	https://www.mdpi.com/2072-4292/13/3/498
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