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.

• Publication year

  2025

• Venue

  2025 IEEE Research and Applications of Photonics in Defense Conference (RAPID)

• Publication date

  2025-08-13

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/RAPID64712.2025.11151336
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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