High-Resolution DEMs from Chandrayaan Imagery using Shape-from-Shading (SfS)
Explore Our MissionDigital Elevation Models (DEMs) are 3D representations of terrain surfaces. They provide precise height information for every point on the lunar surface, essential for mission planning and scientific analysis.
Shape-from-Shading (SfS) is a computer vision technique that reconstructs 3D surfaces by analyzing how light interacts with objects in 2D images, extracting height information from shadow patterns.
SfS enables high-resolution terrain mapping from single images, overcoming limitations of traditional methods like LIDAR and stereo imaging, which require multiple data sources or specialized equipment.
High-resolution lunar imagery from Chandrayaan-2 OHRC or other orbital cameras
Image enhancement, noise reduction, and normalization for optimal analysis
Analysis of light and shadow patterns to determine surface properties
AI-powered algorithms convert light patterns into precise elevation data
High-resolution DEM with enhanced detail for mission planning and analysis
Precise landing site selection and hazard avoidance for future lunar missions
Integration with existing mission planning tools for Chandrayaan and Artemis programs
Advanced terrain analysis combining machine learning with traditional remote sensing
Optimized path planning and navigation for lunar rovers in challenging terrain
Advanced neural networks optimize the Shape-from-Shading process, delivering higher accuracy and resolution than traditional methods.
Automatically identifies and maps hazardous surface features like boulders and craters for safer mission planning.
Prioritizes visual clarity and intuitive representation of terrain data for easier interpretation by mission planners.
Flexible architecture allows integration with existing workflows and tools, enhancing rather than replacing current systems.
Generates data in multiple formats suitable for various applications from scientific analysis to 3D printing of terrain models.
High-resolution imagery from India's lunar mission with exceptional detail of the lunar surface
Access DataNASA's Lunar Reconnaissance Orbiter camera data providing comprehensive lunar surface coverage
Access DataJapanese SELENE mission data with detailed topographic measurements of the lunar surface
Access DataGeoTIFF format for GIS compatibility
ASCII grid format for wide compatibility
3D model format for printing and visualization
Vector contour lines for traditional mapping
Integrating multiple data sources for even higher accuracy and resolution
Advanced AI for automatic identification of surface hazards
Real-time terrain simulation for rover navigation training
Adapting the technology for Mars surface mapping
Initial proof-of-concept development
Full-scale implementation with ISRO systems
hackerunity.community@gmail.com
github.com/Adityadahuja/LunaVision-2.0
Bhartiya Antariksh Hackathon 2025