NeuralGPR: Neural Radiance Tomography for Subsurface Lunar Ice Detection with Ground Penetrating Radar

Develop AI-driven subsurface mapping techniques to detect and quantify lunar water ice and volatiles. By integrating Neural Radiance Fields (NeRFs) with Ground Penetrating Radar (GPR); we aim to significantly improve subsurface imaging accuracy and resolution; providing essential data for future lunar missions and in-situ resource utilization.

This project would enhance subsurface imaging accuracy at lunar poles; enabling more precise detection of water ice and volatiles. This improved data supports future lunar missions; in-situ resource utilization; and alignment with Moon and Cislunar to Mars objectives; ultimately advancing lunar exploration and resource management strategies.

This is early/mid-stage (TRL 1) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.

None of these are guaranteed paths for this specific project — TechPort itself doesn't have an "apply" button. Reaching out to the contact(s) above with a specific question is usually the fastest way to find out what's actually open.