Remote Sensing Image Road Segmentation Method Integrating CNN-Transformer and UNet
Author:
Affiliation:
1. China Transport Telecommunications and Information Center, Beijing, China
2. Heilongjiang University of Technology, Harbin, China
3. No. 1 Middle School, Jixi, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/6287639/10005208/10366253.pdf?arnumber=10366253
Reference41 articles.
1. Road tests of self-driving vehicles: Affective and cognitive pathways in acceptance formation
2. Corse-to-Fine Road Extraction Based on Local Dirichlet Mixture Models and Multiscale-High-Order Deep Learning
3. Extraction of Road Lane Markings from Mobile LiDAR Data
4. A new hierarchical method for automatic road centerline extraction in urban areas using LIDAR data
5. Road Garbage Segmentation With Deep Supervision and High Fusion Network for Cleaning Vehicles
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