Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Instantaneous Material Classification Using a Polarization-Diverse RMCW LIDAR

Version 1 : Received: 9 March 2024 / Approved: 11 March 2024 / Online: 14 March 2024 (11:12:03 CET)

How to cite: Pulikkaseril, C.; Ross, D.; Tofini, A.; Lize, Y.K.; Collarte, F. Instantaneous Material Classification Using a Polarization-Diverse RMCW LIDAR. Preprints 2024, 2024030834. https://doi.org/10.20944/preprints202403.0834.v1 Pulikkaseril, C.; Ross, D.; Tofini, A.; Lize, Y.K.; Collarte, F. Instantaneous Material Classification Using a Polarization-Diverse RMCW LIDAR. Preprints 2024, 2024030834. https://doi.org/10.20944/preprints202403.0834.v1

Abstract

Light detection and ranging (LIDAR) sensors using a polarization-diverse receiver are able to capture polarimetric information about the target under measurement. This information can be used in a classifier to make an instantaneous assessment of the type of material present, enabling a shot-by-shot prediction of the material type and distance to the target.

Keywords

LIDAR; remote sensing; material classification; polarization; laser ranging

Subject

Physical Sciences, Optics and Photonics

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