Vision-Aided Hyperspectral Full-Waveform LiDAR System to Improve Detection Efficiency

The hyperspectral full-waveform LiDAR (HSL) system based on the supercontinuum laser can obtain spatial and spectral information of the target synchronously and outperform traditional LiDAR or imaging spectrometers in target classification and other applications. However, low detection efficiency ca...

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Main Authors: Hao Wu, Chao Lin, Chengliang Li, Jialun Zhang, Youyang Gaoqu, Shuo Wang, Long Wang, Hao Xue, Wenqiang Sun, Yuquan Zheng
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/15/13/3448
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author Hao Wu
Chao Lin
Chengliang Li
Jialun Zhang
Youyang Gaoqu
Shuo Wang
Long Wang
Hao Xue
Wenqiang Sun
Yuquan Zheng
author_facet Hao Wu
Chao Lin
Chengliang Li
Jialun Zhang
Youyang Gaoqu
Shuo Wang
Long Wang
Hao Xue
Wenqiang Sun
Yuquan Zheng
author_sort Hao Wu
collection DOAJ
description The hyperspectral full-waveform LiDAR (HSL) system based on the supercontinuum laser can obtain spatial and spectral information of the target synchronously and outperform traditional LiDAR or imaging spectrometers in target classification and other applications. However, low detection efficiency caused by the detection of useless background points (ULBG) hinders its practical applications, especially when the target is small compared with the large field of view (FOV) of the HSL system. A novel vision-aided hyperspectral full-waveform LiDAR system (V-HSL) was proposed to solve the problem and improve detection efficiency. First, we established the framework and developed preliminary algorithms for the V-HSL system. Next, we experimentally compared the performance of the V-HSL system with the HSL system. The results revealed that the proposed V-HSL system could reduce the detection of ULBG points and improve detection efficiency with enhanced detection performance. The V-HSL system is a promising development direction, and the study results will help researchers and engineers develop and optimize their design of the HSL system and ensure high detection efficiency of spatial and spectral information of the target.
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spelling doaj.art-23c5b788c9a64635b02536173499ffc52023-11-18T17:26:25ZengMDPI AGRemote Sensing2072-42922023-07-011513344810.3390/rs15133448Vision-Aided Hyperspectral Full-Waveform LiDAR System to Improve Detection EfficiencyHao Wu0Chao Lin1Chengliang Li2Jialun Zhang3Youyang Gaoqu4Shuo Wang5Long Wang6Hao Xue7Wenqiang Sun8Yuquan Zheng9Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaGoertek Optical Technology Co., Ltd., Wei Fang 370700, ChinaChangchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, ChinaThe hyperspectral full-waveform LiDAR (HSL) system based on the supercontinuum laser can obtain spatial and spectral information of the target synchronously and outperform traditional LiDAR or imaging spectrometers in target classification and other applications. However, low detection efficiency caused by the detection of useless background points (ULBG) hinders its practical applications, especially when the target is small compared with the large field of view (FOV) of the HSL system. A novel vision-aided hyperspectral full-waveform LiDAR system (V-HSL) was proposed to solve the problem and improve detection efficiency. First, we established the framework and developed preliminary algorithms for the V-HSL system. Next, we experimentally compared the performance of the V-HSL system with the HSL system. The results revealed that the proposed V-HSL system could reduce the detection of ULBG points and improve detection efficiency with enhanced detection performance. The V-HSL system is a promising development direction, and the study results will help researchers and engineers develop and optimize their design of the HSL system and ensure high detection efficiency of spatial and spectral information of the target.https://www.mdpi.com/2072-4292/15/13/3448vision-aided hyperspectral full-waveform LiDAR systemdetection efficiencyuseless background pointsspatial and spectral information
spellingShingle Hao Wu
Chao Lin
Chengliang Li
Jialun Zhang
Youyang Gaoqu
Shuo Wang
Long Wang
Hao Xue
Wenqiang Sun
Yuquan Zheng
Vision-Aided Hyperspectral Full-Waveform LiDAR System to Improve Detection Efficiency
Remote Sensing
vision-aided hyperspectral full-waveform LiDAR system
detection efficiency
useless background points
spatial and spectral information
title Vision-Aided Hyperspectral Full-Waveform LiDAR System to Improve Detection Efficiency
title_full Vision-Aided Hyperspectral Full-Waveform LiDAR System to Improve Detection Efficiency
title_fullStr Vision-Aided Hyperspectral Full-Waveform LiDAR System to Improve Detection Efficiency
title_full_unstemmed Vision-Aided Hyperspectral Full-Waveform LiDAR System to Improve Detection Efficiency
title_short Vision-Aided Hyperspectral Full-Waveform LiDAR System to Improve Detection Efficiency
title_sort vision aided hyperspectral full waveform lidar system to improve detection efficiency
topic vision-aided hyperspectral full-waveform LiDAR system
detection efficiency
useless background points
spatial and spectral information
url https://www.mdpi.com/2072-4292/15/13/3448
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