Automatic Road Extraction from High-Resolution Remote Sensing Images Using a Method Based on Densely Connected Spatial Feature-Enhanced Pyramid

Automatic Road Extraction from High-Resolution Remote Sensing Images Using a Method Based on Densely Connected Spatial Feature-Enhanced Pyramid

Road extraction is an important task in remote sensing image information extraction. Recently, deep learning semantic segmentation has become an important method of road extraction. Due to the impact of the loss of multiscale spatial features, the results of road extraction still contain incomplete...

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Bibliographic Details
Main Authors: Qiangqiang Wu, Feng Luo, Penghai Wu, Biao Wang, Hui Yang, Yanlan Wu
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Subjects:
Deep learning
dense and global spatial pyramid pooling (DGSPP) module
remote sensing image
road extraction
Online Access:https://ieeexplore.ieee.org/document/9285177/

Internet

https://ieeexplore.ieee.org/document/9285177/

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