Road Extraction From Satellite Imagery by Road Context and Full-Stage Feature
Author:
Affiliation:
1. College of Data Science, Taiyuan University of Technology, Taiyuan, China
2. Shanxi Transportation Technology Research and Development Company Ltd., Taiyuan, China
Funder
National Natural Science Foundation of China
Natural Science Foundation of Shanxi Province of China
Shanxi Transportation and Control Technology Research Project
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology
Link
http://xplorestaging.ieee.org/ielx7/8859/10034981/09982686.pdf?arnumber=9982686
Reference26 articles.
1. Split Depth-wise Separable Graph-Convolution Network for Road Extraction in Complex Environments from High-resolution Remote-Sensing Images
2. GAMSNet: Globally aware road detection network with multi-scale residual learning
3. UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation
4. MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed Images
5. DBRANet: Road Extraction by Dual-Branch Encoder and Regional Attention Decoder
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