Machine Learning-Based Material Classification on Spectral Data for a New Multispectral LiDAR Design

This study presents a machine learning framework for material classification using multispectral LiDAR reflectivity data. The classification results support the prototyping of a Raman-source multispectral LiDAR operating within high atmospheric transmission windows, enabling real-time range and spectral measurements to enhance material differentiation and object classification.