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a deep-learning-based river centerline extraction model

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DeepRiver

A River Centerline Extraction Model that uses Deep Convolutional Neural Networks

Related papers

  • 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]

Dependencies

  • Python 3.5+
  • OpenCV 3.0+
  • TensorFlow 1.4.0+
  • Numpy

Running instructions

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

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