Enhance Essential Features for Road Extraction from Remote Sensing Images
Author:
Affiliation:
1. School of Astronautics, Beihang University,Image Processing Center,Beijing,China,100191
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9883023/9883024/09883214.pdf?arnumber=9883214
Reference12 articles.
1. D-LinkNet: LinkNet with Pretrained Encoder and Dilated Convolution for High Resolution Satellite Imagery Road Extraction
2. Richer U-Net: Learning More Details for Road Detection in Remote Sensing Images
3. Deep hough-transform line priors;yancong lin;European Conference on Computer Vision,2020
4. DeepRoadMapper: Extracting Road Topology from Aerial Images
5. DeepGlobe 2018: A Challenge to Parse the Earth through Satellite Images
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