Attention-Based Deep Feature Fusion for the Scene Classification of High-Resolution Remote Sensing Images

Attention-Based Deep Feature Fusion for the Scene Classification of High-Resolution Remote Sensing Images

Scene classification of high-resolution remote sensing images (HRRSI) is one of the most important means of land-cover classification. Deep learning techniques, especially the convolutional neural network (CNN) have been widely applied to the scene classification of HRRSI due to the advancement of g...

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Bibliographic Details
Main Authors: Ruixi Zhu, Li Yan, Nan Mo, Yi Liu
Format: Article
Language:English
Published: MDPI AG 2019-08-01
Series:Remote Sensing
Subjects:
remote sensing
scene classification
attention maps
multiplicative fusion of deep feature
center loss
Online Access:https://www.mdpi.com/2072-4292/11/17/1996

Internet

https://www.mdpi.com/2072-4292/11/17/1996

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