https://github.com/centre-for-humanities-computing/mounddetection
Analysis of IKONOS satellite imagery for the Tundzha Regional Archaeological Project
https://github.com/centre-for-humanities-computing/mounddetection
Science Score: 13.0%
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○Scientific vocabulary similarity
Low similarity (5.1%) to scientific vocabulary
Repository
Analysis of IKONOS satellite imagery for the Tundzha Regional Archaeological Project
Basic Info
- Host: GitHub
- Owner: centre-for-humanities-computing
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 513 KB
Statistics
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
Analysis of IKONOS satellite imagery for the Tundzha Regional Archaeological Project
The goal of this project is to build a machine learning system that can identify potential burrial mounds in satellite images to a high degree of accuracy. In this repository we are investigating two avenues: classification of multi-band postage-stamp image centred on burrial mounds and segmentation of large images to highlight burrial mounds and other relevant features.
Environment Setup
For GIS tasks remember to activate the GIS python environment. See HERE.
For ML tasks activate the DL4CV environment using workon dl4cv.
Owner
- Name: Center for Humanities Computing Aarhus
- Login: centre-for-humanities-computing
- Kind: organization
- Email: chcaa@cas.au.dk
- Location: Aarhus, Denmark
- Website: https://chc.au.dk/
- Repositories: 130
- Profile: https://github.com/centre-for-humanities-computing
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