Project Selene is a web application that transforms Lunar images captured by Chandrayaan-2's OHRC (Orbital High Resolution Camera) into 3D Lunar Maps. By extracting pixel brightness, we create an immersive 3D representation of the lunar surface.
- Accepts OHRC Lunar images
- Extracts pixel brightness data
- Generates 3D Lunar Maps
- Interactive 3D visualization
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Install dependencies
pip install -r requirements.txt
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Run app.py
flask run
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Access the app
http://localhost:5000/
We've provided sample images to get you started. For the complete dataset, visit: ISRO Chandrayaan-2 Data Archive
- Pinch to zoom in/out
- Click and drag to rotate the 3D model
We're working on enhancing the 3D modeling with more accurate crater representations:
- Detect craters in input images
- Replace detected craters with 3D models created by
crater.py - Improve overall terrain accuracy
Check out crater.py, crater.obj, and crater.png in the repository for more details on our crater modeling approach.
If you like this project, please give us a star! ⭐
📊 Project Stats
