Lidar signal de-noising based on wavelet trimmed thresholding technique

Chinese Optics Letters, Volume. 2, Issue 1, 0101(2004)

Haitao Fang^1,2 and Deshuang Huang¹

Author Affiliations

¹Institute of Intelligent Machines, Chinese Academy of Sciences, Hefei 230031

²Automatization Department of University of Science and Technology of China, Hefei 230026

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References(8)

[1] [1] A. H. Omar, J. Geophys. Res. 106, 1227 (2001).

[2] [2] V. Santacesaria, A. R. MacKenzie, and L. Stefanutti, Tellus (B) 53, 306 (2001).

[3] [3] L. R. Douglass, M. R. Schoeberl, S. R. Kawa, and E. V. Browell, J. Geophys. Res. 106, 9879 (2001).

[4] [4] F. G. Fernald, Appl. Opt. 23, 652 (1984).

[5] [5] S. Lerkvarnyu, "Moving Average Method for Time Series Lidar Data" http://www.gisdevelopment.net/aars/acrs/1998/ps3/ps3016.shtml.

[6] [6] D. S. Huang, Intelligent Signal Processing Technique for High Resolution Radars (China Machine Press, Beijing, 2001).

[7] [7] S. Mallat, IEEE Trans. Pattern Analysis and Machine Intelligence 11, 674 (1989).

[8] [8] D. L. Donoho, IEEE Trans. Information Theory 41, 613 (1995).

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Haitao Fang, Deshuang Huang. Lidar signal de-noising based on wavelet trimmed thresholding technique[J]. Chinese Optics Letters, 2004, 2(1): 0101

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Paper Information

Category: Atmospheric and oceanic optics

Received: Sep. 12, 2003

Accepted: --

Published Online: Jun. 6, 2006

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