Spectral-Swin Transformer with Spatial Feature Extraction Enhancement for Hyperspectral Image Classification

Hyperspectral image classification (HSI) has rich applications in several fields. In the past few years, convolutional neural network (CNN)-based models have demonstrated great performance in HSI classification. However, CNNs are inadequate in capturing long-range dependencies, while it is possible...

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Bibliographic Details

Main Authors:	Yinbin Peng, Jiansi Ren, Jiamei Wang, Meilin Shi
Format:	Artigo
Language:	Inglês
Published:	MDPI AG 2023-05-01
Series:	Remote Sensing
Subjects:	transformer shifted window spatial feature extraction (SFE) spatial position encoding (SPE) hyperspectral image (HSI) classification
Online Access:	https://www.mdpi.com/2072-4292/15/10/2696
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