Open AccessPotential of active multispectral lidar for detecting low reflectance targets
Author(s) -
Sanna Kaasalainen,
Tuomo Malkamäki
Publication year - 2020
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.379491
Subject(s) - multispectral image , lidar , remote sensing , hyperspectral imaging , calibration , sampling (signal processing) , ranging , multispectral pattern recognition , reflectivity , optics , environmental science , computer science , geology , physics , detector , telecommunications , quantum mechanics
The calibration and sampling of the multispectral Light Detection and Ranging (lidar) intensity is still challenging because the data acquisition has to be optimized for simultaneous 3D measurement, and the intensity retrieval methods need to be fast to enable real-time detection. We have studied the spectral measurement of low reflectance targets with an 8-channel hyperspectral lidar with improved waveform sampling and sensitivity, which now allow the detection of spectral differences even at low reflectance values. Our initial analysis resulted in a classification accuracy greater than 80%, which indicates that the multispectral lidar is able to detect the small differences in target spectral properties when reflectance at two or more channels is compared at the same time.