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Sensors 2015, 15(10), 26085-26095;

Low-Pass Parabolic FFT Filter for Airborne and Satellite Lidar Signal Processing

1,2,†,* , 1,†
Institute of Optics and Electronics, Chinese Academy of Sciences, Mailbox 350, Chengdu 610209, China
Department of Atmospheric Science, University of Wyoming, Laramie, WY 82071, USA
These authors contributed equally to this work.
Author to whom correspondence should be addressed.
Academic Editor: Assefa M. Melesse
Received: 14 August 2015 / Revised: 24 September 2015 / Accepted: 6 October 2015 / Published: 14 October 2015
(This article belongs to the Section Remote Sensors)
Full-Text   |   PDF [971 KB, uploaded 14 October 2015]   |  


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. View Full-Text
Keywords: (010.3640) lidar; (010.1615) clouds; signal; noise (010.3640) lidar; (010.1615) clouds; signal; noise

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Jiao, Z.; Liu, B.; Liu, E.; Yue, Y. Low-Pass Parabolic FFT Filter for Airborne and Satellite Lidar Signal Processing. Sensors 2015, 15, 26085-26095.

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