Vision Based Llm

Abstract

The objective of this project is to develop an AI-driven system for automated lunar soil composition analysis using orbital imagery. Traditional geochemical mapping relies on coarse-resolution sensors (like GRS), which lack the detail needed for landing site selection or resource prospecting. This project bridges that gap by using Deep Learning to super-resolve chemical maps based on visual texture.

Research Team