Multichannel Interconnection Decomposition for Hyperspectral LiDAR Waveforms Detected From Over 500 m
文献类型:期刊论文
作者 | Wang, Binhui3; Song, Shalei4; Shi, Shuo3; Chen, Zhenwei4; Li, Faquan4; Wu, Decheng1; Liu, Dong1; Gong, Wei2 |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
出版日期 | 2021-09-03 |
ISSN号 | 0196-2892 |
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 |
DOI | 10.1109/TGRS.2021.3108160 |
通讯作者 | Song, Shalei(songshalei@apm.ac.cn) |
英文摘要 | 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. |
WOS关键词 | LAND-COVER CLASSIFICATION ; SMALL-FOOTPRINT ; MULTISPECTRAL LIDAR ; RADIOMETRIC CALIBRATION ; DESIGN |
资助项目 | National Key Research and Development Program of China[2018YFB0504500] ; NSFC[42171347] ; NSFC[41971307] |
WOS研究方向 | Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000732787600001 |
资助机构 | National Key Research and Development Program of China ; NSFC |
源URL | [http://ir.hfcas.ac.cn:8080/handle/334002/126938] |
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.Chinese Acad Sci, Hefei Inst Phys Sci, Anhui Inst Opt & Fine Mech, Hefei 230031, Peoples R China 2.Wuhan Univ, Elect Informat Sch, Wuhan 430072, Peoples R China 3.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China 4.Chinese Acad Sci, Innovat Acad Precis Measurement Sci & Technol, State Key Lab Magnet Resonance & Atom & Mol Phys, Wuhan 430071, 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). |
入库方式: OAI收割
来源:合肥物质科学研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。