A signal denoising method for full-waveform LiDAR data

Azadbakht, M, Fraser, C, Zhang, C and Leach, J 2013, 'A signal denoising method for full-waveform LiDAR data', in M. Scaioni, R. C. Lindenbergh, S. Oude Elberink, D. Schneider, and F. Pirotti (ed.) Proceedings of 2013 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Antalya, Turkey, 11-13 November 2013, pp. 31-36.


Document type: Conference Paper
Collection: Conference Papers

Title A signal denoising method for full-waveform LiDAR data
Author(s) Azadbakht, M
Fraser, C
Zhang, C
Leach, J
Year 2013
Conference name 2013 ISPRS Workshop Laser Scanning
Conference location Antalya, Turkey
Conference dates 11-13 November 2013
Proceedings title Proceedings of 2013 ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Editor(s) M. Scaioni, R. C. Lindenbergh, S. Oude Elberink, D. Schneider, and F. Pirotti
Publisher Copernicus GmbH
Place of publication Germany
Start page 31
End page 36
Total pages 6
Abstract The lack of noise reduction methods resistant to waveform distortion can hamper correct and accurate decomposition in the processing of full-waveform LiDAR data. This paper evaluates a time-domain method for smoothing and reducing the noise level in such data. The Savitzky-Golay (S-G) approach approximates and smooths data by taking advantage of fitting a polynomial of degree d, using local least-squares. As a consequence of the integration of this method with the Singular Value Decomposition (SVD) approach, and applying this filter on the singular vectors of the SVD, satisfactory denoising results can be obtained. The results of this SVD-based S-G approach have been evaluated using two different LiDAR datasets and also compared with those of other popular methods in terms of the degree of preservation of the moments of the signal and closeness to the noisy signal. The results indicate that the SVD-based S-G approach has superior performance in denoising full-waveform LiDAR data.
Subjects Geospatial Information Systems
Photogrammetry and Remote Sensing
Keyword(s) Savitzky-Golay method
signal distortion
retrieval
Full-waveform LiDAR
Active Remote Sensing.
Copyright notice © 2013 ISPRS
ISSN 2194-9042
Versions
Version Filter Type
Access Statistics: 178 Abstract Views  -  Detailed Statistics
Created: Thu, 15 Jan 2015, 08:26:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us