Attention-Guided Label Refinement Network for Semantic Segmentation of Very High Resolution Aerial Orthoimages

Attention-Guided Label Refinement Network for Semantic Segmentation of Very High Resolution Aerial Orthoimages

The recent applications of fully convolutional networks (FCNs) have shown to improve the semantic segmentation of very high resolution (VHR) remote-sensing images because of the excellent feature representation and end-to-end pixel labeling capabilities. While many FCN-based methods concatenate feat...

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Bibliographic Details
Main Authors: Jianfeng Huang, Xinchang Zhang, Ying Sun, Qinchuan Xin
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Attention mechanism
convolutional neural networks (CNNs)
deep learning
semantic segmentation
urban object extraction
very high spatial resolution images
Online Access:https://ieeexplore.ieee.org/document/9410460/

Internet

https://ieeexplore.ieee.org/document/9410460/

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