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a deep model that segments water on multispectral images

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DeepWaterMap

A deep convolutional neural network that is trained to segment water on Landsat imagery.

We will soon release the next-generation of DeepWaterMap here. Until then, you can find the earlier version at: http://live.ece.utexas.edu/research/deepwatermap/

Papers

  • L.F. Isikdogan, A.C. Bovik, and P. Passalacqua, "Seeing Through the Clouds with DeepWaterMap," IEEE Geoscience and Remote Sensing Letters, in review.
  • 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]

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  • Python 53.4%
  • Jupyter Notebook 46.6%