Self-Attention Network With Joint Loss for Remote Sensing Image Scene Classification

Self-Attention Network With Joint Loss for Remote Sensing Image Scene Classification

Deep learning, especially convolutional neural network (CNN), has been widely applied in remote sensing scene classification in recent years. However, such approaches tend to extract features from the whole image rather than discriminative regions. This article proposes a self-attention network mode...

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Bibliographic Details
Main Authors: Honglin Wu, Shuzhen Zhao, Liang Li, Chaoquan Lu, Wen Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Remote sensing image
scene classification
convolutional neural network
self-attention
joint loss function
Online Access:https://ieeexplore.ieee.org/document/9262877/

Internet

https://ieeexplore.ieee.org/document/9262877/

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