Skip to content

This repository shows how to get satellite images to build a dataset to train a neural network. It use the MiniFrance land cover dataset, Google-Earth-Engine to download satellite images, and Pytorch to train a neural network.

License

Notifications You must be signed in to change notification settings

Apiquet/segmentation_from_satellite_images

Repository files navigation

Open In Colab

Segmentation from satellite images

Description

Repository that implements a Deep Learning training using satellite images.

The following article explains:

  • the MiniFrance land cover dataset,
  • details about satellite data (TIF files, EPSG projections, etc.),
  • how to visualize satellite data on Google Maps through the QGIS software,
  • a description of the two satellites used Sentinel 1 and Sentinel 2,
  • how to get satellite images using Google Earth Engine.

How to use the code

By running the train.ipynb on Colab using the "Open in Colab" button at the top of the readme.

Or by running the train.ipynb or train.py on your own machine.

About

This repository shows how to get satellite images to build a dataset to train a neural network. It use the MiniFrance land cover dataset, Google-Earth-Engine to download satellite images, and Pytorch to train a neural network.

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages