Multi-Level Feature Extraction Networks for Hyperspectral Image Classification

Multi-Level Feature Extraction Networks for Hyperspectral Image Classification

Hyperspectral image (HSI) classification plays a key role in the field of earth observation missions. Recently, transformer-based approaches have been widely used for HSI classification due to their ability to model long-range sequences. However, these methods face two main challenges. First, they t...

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Bibliographic Details
Main Authors:	Shaoyi Fang, Xinyu Li, Shimao Tian, Weihao Chen, Erlei Zhang
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Series:	Remote Sensing
Subjects:	hyperspectral image classification convolutional neural networks vision transformer
Online Access:	https://www.mdpi.com/2072-4292/16/3/590

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