A River Centerline Extraction Model that uses Deep Convolutional Neural Networks
- F. Isikdogan, A.C. Bovik, and P. Passalacqua, "Learning a River Network Extractor using an Adaptive Loss Function," IEEE Geoscience and Remote Sensing Letters, 2018. [Read at IEEExplore], [PDF]
- F. Isikdogan, A.C. Bovik, and P. Passalacqua, "Surface Water Mapping by Deep Learning," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2017. [Read at IEEExplore], [PDF]
- Python 3.5+
- OpenCV 3.0+
- TensorFlow 1.4.0+
- Numpy
Training a model from scratch:
python trainer.py
Running inference on a given image (extracting the centerlines from a surface water map):
python inference.py
Example images can be found in:
./data