Next Article in Journal
The Quasi-Biennial Vertical Oscillations at Global GPS Stations: Identification by Ensemble Empirical Mode Decomposition
Previous Article in Journal
A Novel Robot Visual Homing Method Based on SIFT Features
Article Menu

Export Article

Open AccessArticle
Sensors 2015, 15(10), 26085-26095; doi:10.3390/s151026085

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

1,†
,
1,2,†,* , 1,†
and
1,†
1
Institute of Optics and Electronics, Chinese Academy of Sciences, Mailbox 350, Chengdu 610209, China
2
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)
View Full-Text   |   Download PDF [971 KB, uploaded 14 October 2015]   |  

Abstract

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
Figures

Figure 1

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).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

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.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top