HFCAS OpenIR
Multichannel Interconnection Decomposition for Hyperspectral LiDAR Waveforms Detected From Over 500 m
Wang, Binhui1; Song, Shalei2; Shi, Shuo1; Chen, Zhenwei2; Li, Faquan2; Wu, Decheng3; Liu, Dong3; Gong, Wei4
2021-09-03
发表期刊IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
通讯作者Song, Shalei(songshalei@apm.ac.cn)
摘要The full-waveform hyperspectral light detection and ranging (FWHSL) data have been widely used in surface topography, vegetation detection, and 3-D urban terrain modeling, capable of revealing the spatial distribution of a target and more detailed spectral information in the vertical direction. However, the echo signals of a target would significantly vary between different spectral channels due to the reflectance characteristics and the uneven energy distribution of supercontinuum laser source. Especially, band channels with weak reflectance over a long distance would affect the extraction accuracy of waveform parameters, which are essential for retrieving the spatial and spectral information of targets. This article proposes a multichannel interconnection decomposition method to improve the extraction accuracy of distance and spectral information at each pulse using hyperspectral waveform data. Two experiments were conducted to verify the performance of long-distance detection of targets using FWHSL. The first experiment detected a standard whiteboard, a green leaf, and a yellow leaf at roughly 518 m. Results demonstrated a considerable improvement in ranging precision and spectral detection using the proposed method compared with using the optimal channel with the best data quality. The second experiment simultaneously detected two adjacent targets at a distance of approximately 518 m. Results presented clear superiority of adding waveform channels in terms of discovering overlapping components and retrieving accurate waveform parameters. The success rate of extracting two targets 60 cm apart was greatly increased from 47% to 73% through the multichannel interconnection waveform decomposition (MIWD) method.
关键词Laser radar Lasers Optical pulses Hyperspectral imaging Distance measurement Optical scattering Optical refraction Full-waveform light detection and ranging (LiDAR) hyperspectral LiDAR ranging spectral detection waveform decomposition
DOI10.1109/TGRS.2021.3108160
关键词[WOS]LAND-COVER CLASSIFICATION ; SMALL-FOOTPRINT ; MULTISPECTRAL LIDAR ; RADIOMETRIC CALIBRATION ; DESIGN
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2018YFB0504500] ; NSFC[42171347] ; NSFC[41971307]
项目资助者National Key Research and Development Program of China ; NSFC
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000732787600001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
被引频次:5[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.hfcas.ac.cn:8080/handle/334002/126939
专题中国科学院合肥物质科学研究院
通讯作者Song, Shalei
作者单位1.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
2.Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan 430071, Peoples R China
3.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China
4.Wuhan Univ, Elect Informat Sch, Wuhan 430072, Peoples R China
推荐引用方式
GB/T 7714
Wang, Binhui,Song, Shalei,Shi, Shuo,et al. Multichannel Interconnection Decomposition for Hyperspectral LiDAR Waveforms Detected From Over 500 m[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2021.
APA Wang, Binhui.,Song, Shalei.,Shi, Shuo.,Chen, Zhenwei.,Li, Faquan.,...&Gong, Wei.(2021).Multichannel Interconnection Decomposition for Hyperspectral LiDAR Waveforms Detected From Over 500 m.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING.
MLA Wang, Binhui,et al."Multichannel Interconnection Decomposition for Hyperspectral LiDAR Waveforms Detected From Over 500 m".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2021).
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