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An Object-Based Method for Urban Land Cover Classification Using Airborne Lidar Data

contributor authorZiyue Chen
contributor authorBingbo Gao
date accessioned2020-03-13T00:13:56Z
date available2020-03-13T00:13:56Z
date issued2014
identifier issn1939-1404
identifier other6856202.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1139098?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleAn Object-Based Method for Urban Land Cover Classification Using Airborne Lidar Data
typeJournal Paper
contenttypeMetadata Only
identifier padid8321282
subject keywordsairborne radar
subject keywordsgeophysical image processing
subject keywordsimage classification
subject keywordsland cover
subject keywordsoptical radar
subject keywordsradar imaging
subject keywordsCambridge city
subject keywordsbuilding
subject keywordsdiscrete airborne lidar data
subject keywordselevation difference
subject keywordsheight information
subject keywordsintensity difference
subject keywordsintensity information
subject keywordslight detection and ranging
subject keywordsobject-based method
subject keywordspixel-based classification
subject keywordsurban land cover classification
subject keywordsBuildings
subject keywordsFeature extraction
subject keywordsImage resolution
subject keywordsImage segmentation
subject keywordsLaser radar
subject keywordsVegetation
subject keywordsVegetation mapping
subject keywordsAirborne Lidar
subject keywordselevat
identifier doi10.1109/JSTARS.2014.2332337
journal titleSelected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of
journal volume7
journal issue10
filesize1554043
citations0


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