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Automated Detection of Road Manhole and Sewer Well Covers From Mobile LiDAR Point Clouds

contributor authorYongtao Yu
contributor authorLi, Jie
contributor authorHaiyan Guan
contributor authorCheng Wang
contributor authorJun Yu
date accessioned2020-03-12T23:48:31Z
date available2020-03-12T23:48:31Z
date issued2014
identifier issn1545-598X
identifier other6748016.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1124085?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAutomated Detection of Road Manhole and Sewer Well Covers From Mobile LiDAR Point Clouds
typeJournal Paper
contenttypeMetadata Only
identifier padid8303601
subject keywordsBayes methods
subject keywordsMarkov processes
subject keywordsMonte Carlo methods
subject keywordsgeophysical image processing
subject keywordsmaximum likelihood estimation
subject keywordsobject detection
subject keywordsoptical radar
subject keywordsradar detection
subject keywordsradar imaging
subject keywordssanitary engineering
subject keywordsstatistical distributions
subject keywordsBayesian method
subject keywordsRIEGL VMX-450 system
subject keywordsautomated road manhole detection
subject keywordsautomated sewer well cover detection
subject keywordsgeometric dimension
subject keywordslight detection and ranging
subject keywordsmarked point process
subject keywordsmobile LiDAR point clouds
subject keywordsobject detection algorithm
subject keywordsposterior distribution
subject keywordsreversibl
identifier doi10.1109/LGRS.2014.2301195
journal titleGeoscience and Remote Sensing Letters, IEEE
journal volume11
journal issue9
filesize660594
citations0


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