中国科学院光电技术研究所机构知识库
Advanced  
IOE OpenIR  > 光电传感技术研究室(六室)  > 期刊论文
题名:
Low-pass parabolic FFT filter for airborne and satellite lidar signal processing
作者: Jiao, Zhongke1; Liu, Bo1,2; Liu, Enhai1; Yue, Yongjian1
刊名: Sensors (Switzerland)
出版日期: 2015
卷号: 15, 期号:10, 页码:26085-26095
学科分类: Fast Fourier transforms - Low pass filters - Median filters - Optical radar - Random errors - Signal denoising - Signal reconstruction - Signaling - Wavelet decomposition - Wavelet transforms
DOI: 10.3390/s151026085
通讯作者: Liu, Bo
文章类型: 期刊论文
中文摘要: 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.
英文摘要: 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.
收录类别: SCI ; Ei
项目资助者: 99 Talents Program of the Chinese Academy of Sciences ; National Science Foundation (NSF) [AGS-1337599]
语种: 英语
WOS记录号: WOS:000364242300073
ISSN号: 1424-8220
Citation statistics:
内容类型: 期刊论文
URI标识: http://ir.ioe.ac.cn/handle/181551/5141
Appears in Collections:光电传感技术研究室(六室)_期刊论文

Files in This Item:

There are no files associated with this item.


作者单位: 1. 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:
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.
Service
Recommend this item
Sava as my favorate item
Show this item's statistics
Export Endnote File
Google Scholar
Similar articles in Google Scholar
[Jiao, Zhongke]'s Articles
[Liu, Bo]'s Articles
[Liu, Enhai]'s Articles
CSDL cross search
Similar articles in CSDL Cross Search
[Jiao, Zhongke]‘s Articles
[Liu, Bo]‘s Articles
[Liu, Enhai]‘s Articles
Related Copyright Policies
Null
Social Bookmarking
Add to CiteULike Add to Connotea Add to Del.icio.us Add to Digg Add to Reddit
所有评论 (0)
暂无评论
 
评注功能仅针对注册用户开放,请您登录
您对该条目有什么异议,请填写以下表单,管理员会尽快联系您。
内 容:
Email:  *
单位:
验证码:   刷新
您在IR的使用过程中有什么好的想法或者建议可以反馈给我们。
标 题:
 *
内 容:
Email:  *
验证码:   刷新

Items in IR are protected by copyright, with all rights reserved, unless otherwise indicated.

 

 

Valid XHTML 1.0!
Copyright © 2007-2016  中国科学院光电技术研究所 - Feedback
Powered by CSpace