Author : P.Dileep Kumar 1
Date of Publication :7th March 2017
Abstract: Lidar is a remote sensing active instrument provides vertical profiles of atmospheric parameters and the range of lidar signal is affected by various noises like background noise in the middle atmosphere . Nowadays, wavelet transform (WT) is widely used in the real time signal denoising. Despite there are several achievement s in denoising through wavelet thresholding methods, these do not disclose an optimal configuration. In this paper, we proposed a comparative performance analysis of several thresholding methods using WT; lidar signals are denoised to obtain performance metrics. The efficiency of particular thresholding methods: rigrsure, sqtwolog and heursure using hard and soft thresholding are compared.
Reference :
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[1] M.Sarvani,K.Raghunath&S.VijayaBhaskaraRao, ”Lidar signal Denoising-application to NARL Rayleigh lidar system” ,Journal of optics, springer publications, vol 44,Issue 2, pp.164-171,April 2015
[2] Kumar YB, Raghunath K, Kumar VS ,Rao PB, Jain AR, ”Indo-Japanese Lidar: system description and Data Processing”, Radar Symposium, India 1999
[3] Daniel Valencia1, David Orejuela, Jeferson Salazar, and Jose Valencia,”Comparison Analysis Between Rigrsure, Sqtwolog, Heursure and Minimaxi techniques Using Hard and Soft Thresholding Methods,”IEEE Conference in 2016
[4] PengfeiiiTian, LeiZhang, Xianjie Cao, Nana Yi,”The application of EMD Lidar signal Denoising method in Aerosol Detection”,Science Direct-The 7th World Congress on Particle Technology,vol.105,pp.1233- 1237,2015
[5] Zhong Zhang,Kosuke Shimsaue,Hiroshi Toda and Testuo Miyake, “Achieving complex Discrete wavelet transform by lifting scheme using Meyer wavelet”,IEEE International conference on wavelet analysis and pattern recognition,Lanzhou,pp.170- 175,July2014