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Low-pass parabolic FFT filter for airborne and satellite lidar signal processing
Jiao, Zhongke1; Liu, Bo1,2; Liu, Enhai1; Yue, Yongjian1
Source PublicationSensors (Switzerland)
Volume15Issue:10Pages:26085-26095
2015
Language英语
ISSN1424-8220
DOI10.3390/s151026085
Indexed BySCI ; Ei
WOS IDWOS:000364242300073
Subtype期刊论文
AbstractIn order to reduce random errors of the lidar signal inversion, a low-pass parabolic fast Fourier transform filter (PFFTF) was introduced for noise elimination. A compact airborne Raman lidar system was studied, which applied PFFTF to process lidar signals. Mathematics and simulations of PFFTF along with low pass filters, sliding mean filter (SMF), median filter (MF), empirical mode decomposition (EMD) and wavelet transform (WT) were studied, and the practical engineering value of PFFTF for lidar signal processing has been verified. The method has been tested on real lidar signal from Wyoming Cloud Lidar (WCL). Results show that PFFTF has advantages over the other methods. It keeps the high frequency components well and reduces much of the random noise simultaneously for lidar signal processing. © 2015 by the authors; licensee MDPI, Basel, Switzerland.; In order to reduce random errors of the lidar signal inversion, a low-pass parabolic fast Fourier transform filter (PFFTF) was introduced for noise elimination. A compact airborne Raman lidar system was studied, which applied PFFTF to process lidar signals. Mathematics and simulations of PFFTF along with low pass filters, sliding mean filter (SMF), median filter (MF), empirical mode decomposition (EMD) and wavelet transform (WT) were studied, and the practical engineering value of PFFTF for lidar signal processing has been verified. The method has been tested on real lidar signal from Wyoming Cloud Lidar (WCL). Results show that PFFTF has advantages over the other methods. It keeps the high frequency components well and reduces much of the random noise simultaneously for lidar signal processing. © 2015 by the authors; licensee MDPI, Basel, Switzerland.
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Document Type期刊论文
Identifierhttp://ir.ioe.ac.cn/handle/181551/5141
Collection光电传感技术研究室(六室)
Corresponding AuthorLiu, Bo
Affiliation1. Institute of Optics and Electronics, Chinese Academy of Sciences, Mailbox 350, Chengdu, China
2. Department of Atmospheric Science, University of Wyoming, Laramie
3.WY, United States
Recommended Citation
GB/T 7714
Jiao, Zhongke,Liu, Bo,Liu, Enhai,et al. Low-pass parabolic FFT filter for airborne and satellite lidar signal processing[J]. Sensors (Switzerland),2015,15(10):26085-26095.
APA Jiao, Zhongke,Liu, Bo,Liu, Enhai,&Yue, Yongjian.(2015).Low-pass parabolic FFT filter for airborne and satellite lidar signal processing.Sensors (Switzerland),15(10),26085-26095.
MLA Jiao, Zhongke,et al."Low-pass parabolic FFT filter for airborne and satellite lidar signal processing".Sensors (Switzerland) 15.10(2015):26085-26095.
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