MEA-EFFormer: Multiscale Efficient Attention with Enhanced Feature Transformer for Hyperspectral Image Classification

Hyperspectral image classification (HSIC) has garnered increasing attention among researchers. While classical networks like convolution neural networks (CNNs) have achieved satisfactory results with the advent of deep learning, they are confined to processing local information. Vision transformers,...

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Bibliografske podrobnosti

Principais autores:	Qian Sun, Guangrui Zhao, Yu Fang, Chenrong Fang, Le Sun, Xingying Li
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2024-04-01
Serija:	Remote Sensing
Teme:	hyperspectral image (HSI) classification multi-feature channel attention mechanisms transformer
Online dostop:	https://www.mdpi.com/2072-4292/16/9/1560
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