Low-pass parabolic FFT filter for airborne and satellite lidar signal processing
文献类型：期刊论文
| 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 |
| ISSN号 | 1424-8220 |
| 通讯作者 | Liu, Bo |
| 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. |
| 学科主题 | Fast Fourier transforms - Low pass filters - Median filters - Optical radar - Random errors - Signal denoising - Signal reconstruction - Signaling - Wavelet decomposition - Wavelet transforms |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000364242300073 |
| 源URL | [http://ir.ioe.ac.cn/handle/181551/5141]  |
| 专题 | 光电技术研究所_光电传感技术研究室（六室） |
| 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 |
| 推荐引用方式 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. |
入库方式： OAI收割
来源：光电技术研究所
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