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Polarimetric-interferometric boreal forest scattering model for BIOMASS end-to-end simulator

Author:
Soja, M.J.
,
Ulander, L.M.H.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/HICSS.2014.436
URI: http://libsearch.um.ac.ir:80/fum/handle/fum/1052225
Keyword(s): data mining,n inference mechanisms,n knowledge management,n sustainable development,n Austrian companies,n abductive reasoning process,n innovative products,n knowledge creation,n knowledge discovery,n knowledge-based firm,n organization knowledge needs,n sustainable products,n sustainable services,n Barium,n Cognition,n Companies,n Economics,n Knowledge based systems,n abduction,n knowldge based management,n need knowledge
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    Polarimetric-interferometric boreal forest scattering model for BIOMASS end-to-end simulator

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contributor authorSoja, M.J.
contributor authorUlander, L.M.H.
date accessioned2020-03-12T21:32:34Z
date available2020-03-12T21:32:34Z
date issued2014
identifier other6946611.pdf
identifier urihttp://libsearch.um.ac.ir:80/fum/handle/fum/1052225?locale-attribute=en
formatgeneral
languageEnglish
publisherIEEE
titlePolarimetric-interferometric boreal forest scattering model for BIOMASS end-to-end simulator
typeConference Paper
contenttypeMetadata Only
identifier padid8182384
subject keywordsdata mining
subject keywordsn inference mechanisms
subject keywordsn knowledge management
subject keywordsn sustainable development
subject keywordsn Austrian companies
subject keywordsn abductive reasoning process
subject keywordsn innovative products
subject keywordsn knowledge creation
subject keywordsn knowledge discovery
subject keywordsn knowledge-based firm
subject keywordsn organization knowledge needs
subject keywordsn sustainable products
subject keywordsn sustainable services
subject keywordsn Barium
subject keywordsn Cognition
subject keywordsn Companies
subject keywordsn Economics
subject keywordsn Knowledge based systems
subject keywordsn abduction
subject keywordsn knowldge based management
subject keywordsn need knowledge
identifier doi10.1109/HICSS.2014.436
journal titleeoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
filesize2731618
citations0
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