homayoun1990 / GeoDeepLearning

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Deep learning, remote sensing

Getting training data from Planet imagery products to make a Superpixel-based convolutional neural network for sentinel 1&2 images classification.

Study Site and Time

Image Acquisition

  • Sentinel-1 imagery

  • Sentinel-2 imagery

  • Satellite Imagery and Archive | Planet. In this research Planet products (SkySat or RapidEye) will be usesd as a Reference map for assessing deep network output.

Sentinel-2 derived Indices and S1 SAR imagery

About

License:GNU General Public License v3.0


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Language:Jupyter Notebook 48.0%Language:Python 40.9%Language:HTML 11.1%