A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path

10.3390/rs9111109

Saved in:

Bibliographic Details
Main Authors:	Cheng, Y, Cao, J, Hao, Q, Xiao, Y, Zhang, F, Xia, W, Zhang, K, Yu, H
Other Authors:	DEPT OF ELECTRICAL & COMPUTER ENGG
Format:	Article
Published:	2020
Subjects:	Signal to noise ratio Variable gain amplifiers Voltage regulators Background noise Denoising methods Full-waveforms Levenberg-Marquardt Levenberg-Marquardt algorithm Light detection and ranging Optical path Zero crossing points Optical radar
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/175196
Tags:	Add Tag No Tags, Be the first to tag this record!
Institution:	National University of Singapore

id	sg-nus-scholar.10635-175196
record_format	dspace
spelling	sg-nus-scholar.10635-1751962024-04-15T12:45:54Z A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path Cheng, Y Cao, J Hao, Q Xiao, Y Zhang, F Xia, W Zhang, K Yu, H DEPT OF ELECTRICAL & COMPUTER ENGG BIOMEDICAL ENGINEERING Signal to noise ratio Variable gain amplifiers Voltage regulators Background noise Denoising methods Full-waveforms Levenberg-Marquardt Levenberg-Marquardt algorithm Light detection and ranging Optical path Zero crossing points Optical radar 10.3390/rs9111109 Remote Sensing 9 11 1109 2020-09-09T04:59:42Z 2020-09-09T04:59:42Z 2017 Article Cheng, Y, Cao, J, Hao, Q, Xiao, Y, Zhang, F, Xia, W, Zhang, K, Yu, H (2017). A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path. Remote Sensing 9 (11) : 1109. ScholarBank@NUS Repository. https://doi.org/10.3390/rs9111109 20724292 https://scholarbank.nus.edu.sg/handle/10635/175196 Unpaywall 20200831
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Signal to noise ratio Variable gain amplifiers Voltage regulators Background noise Denoising methods Full-waveforms Levenberg-Marquardt Levenberg-Marquardt algorithm Light detection and ranging Optical path Zero crossing points Optical radar
spellingShingle	Signal to noise ratio Variable gain amplifiers Voltage regulators Background noise Denoising methods Full-waveforms Levenberg-Marquardt Levenberg-Marquardt algorithm Light detection and ranging Optical path Zero crossing points Optical radar Cheng, Y Cao, J Hao, Q Xiao, Y Zhang, F Xia, W Zhang, K Yu, H A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path
description	10.3390/rs9111109
author2	DEPT OF ELECTRICAL & COMPUTER ENGG
author_facet	DEPT OF ELECTRICAL & COMPUTER ENGG Cheng, Y Cao, J Hao, Q Xiao, Y Zhang, F Xia, W Zhang, K Yu, H
format	Article
author	Cheng, Y Cao, J Hao, Q Xiao, Y Zhang, F Xia, W Zhang, K Yu, H
author_sort	Cheng, Y
title	A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path
title_short	A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path
title_full	A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path
title_fullStr	A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path
title_full_unstemmed	A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path
title_sort	novel de-noising method for improving the performance of full-waveform lidar using differential optical path
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/175196
_version_	1800914348545146880

A novel de-noising method for improving the performance of full-waveform LiDAR using differential optical path

Similar Items