Remote Sensing Image Scene Classification Based on Global Self-Attention Module

Remote Sensing Image Scene Classification Based on Global Self-Attention Module

The complexity of scene images makes the research on remote-sensing image scene classification challenging. With the wide application of deep learning in recent years, many remote-sensing scene classification methods using a convolutional neural network (CNN) have emerged. Current CNN usually output...

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Bibliographic Details
Main Authors: Qingwen Li, Dongmei Yan, Wanrong Wu
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Remote Sensing
Subjects:
remote-sensing image
scene classification
convolutional neural network (CNN)
global self-attention module
Online Access:https://www.mdpi.com/2072-4292/13/22/4542

Internet

https://www.mdpi.com/2072-4292/13/22/4542

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