https://github.com/sage-group/hugin

Making Deep Learning for Earth Observation more easy
https://github.com/sage-group/hugin

earth-observation machine-learning remote-sensing

Last synced: 6 months ago
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Making Deep Learning for Earth Observation more easy

• Host: GitHub
• URL: https://github.com/sage-group/hugin
• Owner: sage-group
• License: other
• Created: 2019-05-09T19:08:15.000Z (about 7 years ago)
• Default Branch: master
• Last Pushed: 2023-07-11T20:05:50.000Z (almost 3 years ago)
• Last Synced: 2025-11-23T02:31:40.559Z (8 months ago)
• Topics: earth-observation, machine-learning, remote-sensing
• Language: Python
• Homepage: http://www.sage.ieat.ro
• Size: 462 KB
• Stars: 13
• Watchers: 8
• Forks: 7
• Open Issues: 7
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.txt

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README

          
# Hugin

[![Build Status](https://travis-ci.com/sage-group/hugin.svg?branch=master)](https://travis-ci.com/sage-group/hugin)

[![Documentation Status](https://readthedocs.org/projects/hugin-eo/badge/?version=latest)](https://hugin-eo.readthedocs.io/en/latest/?badge=latest)

Hugin helps scientists run Machine Learning experiments on geospatial raster data.

Overall Hugin aims to facilitate experimentation with multiple machine learning problems, like:

 - Classification

 - Segmentation

 - Super-Resolution

Currently Hugin builds on top of the Keras machine learning library but it also aims to support, in the future, additional backends like scikit-learn.

Documentation for Hugin is available at https://hugin-eo.readthedocs.io/

## Acknowledgments

This project is supported by the European Space Agency through the ML4EO project and the [FUSE4DL](http://fuse4dl.hpc.uvt.ro/) research project 432PED from 23/10/2020 (PN-III-P2-2.1-PED-2019-4878)