BIR-Net: A Lightweight and Efficient Bilateral Interaction Road Extraction Network
Author:
Affiliation:
1. School of Electrical Engineering and Automation, Jiangxi University of Science and Technology, Ganzhou, China
2. School of Mechanical and Electrical Engineering, Jiangxi University of Science and Technology, Ganzhou, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/4609443/10330207/10632593.pdf?arnumber=10632593
Reference58 articles.
1. Road Extraction From a High Spatial Resolution Remote Sensing Image Based on Richer Convolutional Features
2. A Road Extraction Method of a High-Resolution Remote Sensing Image Based on Multi-Feature Fusion and the Attention Mechanism
3. A Review of Motion Planning for Highway Autonomous Driving
4. Road Recognition From Remote Sensing Imagery Using Incremental Learning
5. An automatic method for road extraction in rural and semi-urban areas starting from high resolution satellite imagery
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