Paper
18 December 2023 Analysis and exploration of spatial and spectral information with small-footprint hyperspectral lidar returns
Jia-jie Dong, Shi-long Xu, Yu-hao Xia
Author Affiliations +
Abstract
Full-waveform hyperspectral light detection and ranging (FWHSL) is vital in retrieving spatial and spectral information during laser scanning. Four main influence factors, the distance between two neighbor targets, the coverage ratio, the incident angle, and the target's reflectance, determine the information of the FWHSL returns. Previous studies mainly focus on the influence of the neighbor distance, incident angle, and reflectance, while we focus on the coverage ratio of the targets in a laser footprint. We propose a novel multispectral waveform decomposition method, including the Trust-Region algorithm for single wavelength waveform decomposition, 3σ rule for screening decomposition results and correction between multispectral waveform decomposition, to obtain the accurate spatial and spectral information from the multispectral returns, which realizes the decomposition error less than 0.3cm when the neighbor distance is 40cm, for a 4ns pulse width LiDAR signal. We find the intensity and overlapped ratio of the returns are strongly related to the coverage ratio, which may accelerate the progress in point cloud information extraction and target recognition.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Jia-jie Dong, Shi-long Xu, and Yu-hao Xia "Analysis and exploration of spatial and spectral information with small-footprint hyperspectral lidar returns", Proc. SPIE 12959, AOPC 2023: Laser Technology and Applications; and Optoelectronic Devices and Integration, 129590D (18 December 2023); https://doi.org/10.1117/12.3003887
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KEYWORDS
LIDAR

Target detection

Pulse signals

Detection and tracking algorithms

Evolutionary algorithms

Emission wavelengths

Hyperspectral target detection

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