Moqi Liu

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.

Abstract : Hyperspectral image (HSI) classification is one of the most crucial tasks in remote sensing processing. The attention mechanism is preferable to a convolutional neural network (CNN), due to its superior ability to express information during HSI processing. Recently, numerous methods combining CNNs and attention mechanisms have been applied in HSI classification.

This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Haimiao Ge 1, Liguo Wang 2,*, Moqi Liu 1, Yuexia Zhu 1, Xiaoyu Zhao 1, Haizhu Pan 1 and Yanzhong Liu 1 1 College of Computer and Control Engineering, Qiqihar University, Qiqihar 161000, China 2 College of Information and Communication Engineering, Dalian Minzu University, Dalian 116600, China * Author to whom correspondence should be addressed. Remote Sens.