# RoadTracer-M

**Repository Path**: zhangkaiprojects/RoadTracer-M

## Basic Information

- **Project Name**: RoadTracer-M
- **Description**: A multi-starting point road centerline tracing method
- **Primary Language**: Python
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2020-09-11
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# RoadTracer-M

This repository is the official implementation of the paper'[ROAD NETWORK EXTRACTION FROM SATELLITE IMAGES USING CNN BASED SEGMENTATION AND TRACING](https://ieeexplore.ieee.org/abstract/document/8898565)'(IGARSS 2019). 

## Pipeline 

![image-20200728150157771](README.assets/image-20200728150157771.png)

## Results

![image-20200728150255134](README.assets/image-20200728150255134.png)


## Requirements

To install requirements:

```setup
pip install -r requirements.txt

tensorflow
rtree
numpy
```

For generating the **dataset**, please refer to [RoadTracer](https://github.com/mitroadmaps/roadtracer) for more details.

## Structure

- **Corner/corner_detection.py** : generating the starting points for further road tracing.
- **Tracer/**: tracing the road centerline from these starting points. Some of them are modified from [RoadTracer](https://github.com/mitroadmaps/roadtracer).

## Training

To train the model(s) in the paper, run this command:

```train
python train.py --input-data <path_to_data> --alpha 10 --beta 20
```

>📋  Describe how to train the models, with example commands on how to train the models in your paper, including the full training procedure and appropriate hyperparameters.


## Contributing

- [yao WEI](https://github.com/weiyao1996)
- [kai ZHANG](https://github.com/SummerOf15)


## Citation

If you find our work useful in your research, please cite:

```
  @INPROCEEDINGS{8898565,
  author={Wei, Yao and Zhang, Kai and Ji, Shunping},
  title={Road Network Extraction from Satellite Images Using CNN Based Segmentation and Tracing}, 
  booktitle={IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium}, 
  year={2019},
  pages={3923-3926}
  }
```