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<img height="23" src="https://github.com/lh9171338/Outline/blob/master/icon.jpg"/> Road Extraction Papers
A collection of road extraction papers.
Outline
1. Methods
1.1 Road Graph Extraction
Name | Paper | Source | Code/Project |
---|---|---|---|
Sat2Graph | Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding | ECCV 2020 | [Code] |
RoadTagger | RoadTagger: Robust Road Attribute Inference with Graph Neural Networks | AAAI 2020 | [Code] |
VecRoad | VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction | CVPR 2020 | [Project] [Code] |
PolyMapper | Topological Map Extraction From Overhead Images | ICCV 2019 | |
NTG | Neural Turtle Graphics for Modeling City Road Layouts | ICCV 2019 | [Project] |
GGT | Image-Conditioned Graph Generation for Road Network Extraction | NIPS 2019 | [Project] [Code] |
Improved Road Connectivity by Joint Learning of Orientation and Segmentation | CVPR 2019 | [Code] | |
RoadTracer | RoadTracer: Automatic Extraction of Road Networks from Aerial Images | CVPR 2018 | [Project] [Code] |
Iterative Deep Learning for Road Topology Extraction | BMVC 2018 | [Code] | |
DeepRoadMapper | DeepRoadMapper: Extracting Road Topology from Aerial Images | ICCV 2017 |
1.2 Road Segmentation
1.3 Road Centerline Extraction
Name | Paper | Source | Code/Project |
---|---|---|---|
RoadNet | RoadNet: Learning to Comprehensively Analyze Road Networks in Complex Urban Scenes From High-Resolution Remotely Sensed Images | TGRS 2019 | [Code] |
RCNN-UNet | Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net | TGRS 2019 | |
MatAN | Matching Adversarial Networks | CVPR 2018 | |
CasNet | Automatic Road Detection and Centerline Extraction via Cascaded End-to-End Convolutional Neural Network | TGRS 2017 |
2. Datasets
- City-Scale Dataset
- SpaceNet Dataset
- TorontoCity Dataset
- RoadTracer Dataset
- Massachusetts Dataset
- DeepGlobe Dataset
- Toulouse Dataset
- RoadNet Dataset