Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images

Deep Feature Fusion with Integration of Residual Connection and Attention Model for Classification of VHR Remote Sensing Images

The classification of very-high-resolution (VHR) remote sensing images is essential in many applications. However, high intraclass and low interclass variations in these kinds of images pose serious challenges. Fully convolutional network (FCN) models, which benefit from a powerful feature learning...

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Bibliographic Details
Main Authors: Jicheng Wang, Li Shen, Wenfan Qiao, Yanshuai Dai, Zhilin Li
Format: Article
Language:English
Published: MDPI AG 2019-07-01
Series:Remote Sensing
Subjects:
Fully convolutional network (FCN)
very-high-resolution (VHR) image classification
residual connection
attention model
feature fusion
Online Access:https://www.mdpi.com/2072-4292/11/13/1617

Internet

https://www.mdpi.com/2072-4292/11/13/1617

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