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Fusion of hyperspectral and LiDAR data for forest attributes estimation

Author:
Dalponte, M.
,
Frizzera, L.
,
Gianelle, D.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/HICSS.2014.641
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1052158
Keyword(s): fractals,n health care,n hospitals,n NCW,n SCMILE,n cognition,n complex hybrid service interaction model,n effects,n fractal nature,n healthcare,n hospital department,n human systems,n information movement,n logistics,n machine systems,n military domain,n network centric warfare,n physical movement,n provider-consumer services framework,n scalable services framework,n sensing,n services exchange network modelling,n Analytical mode
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    Fusion of hyperspectral and LiDAR data for forest attributes estimation

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contributor authorDalponte, M.
contributor authorFrizzera, L.
contributor authorGianelle, D.
date accessioned2020-03-12T21:32:27Z
date available2020-03-12T21:32:27Z
date issued2014
identifier other6946542.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1052158
formatgeneral
languageEnglish
publisherIEEE
titleFusion of hyperspectral and LiDAR data for forest attributes estimation
typeConference Paper
contenttypeMetadata Only
identifier padid8182300
subject keywordsfractals
subject keywordsn health care
subject keywordsn hospitals
subject keywordsn NCW
subject keywordsn SCMILE
subject keywordsn cognition
subject keywordsn complex hybrid service interaction model
subject keywordsn effects
subject keywordsn fractal nature
subject keywordsn healthcare
subject keywordsn hospital department
subject keywordsn human systems
subject keywordsn information movement
subject keywordsn logistics
subject keywordsn machine systems
subject keywordsn military domain
subject keywordsn network centric warfare
subject keywordsn physical movement
subject keywordsn provider-consumer services framework
subject keywordsn scalable services framework
subject keywordsn sensing
subject keywordsn services exchange network modelling
subject keywordsn Analytical mode
identifier doi10.1109/HICSS.2014.641
journal titleeoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
filesize417299
citations0
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