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Low-level processing of PolSAR images with binary partition trees

Author:
Salembier, P.
,
Foucher, S.
,
Lopez-Martinez, C.
Publisher:
IEEE
Year
: 2014
DOI: 10.1109/HICSS.2014.427
URI: https://libsearch.um.ac.ir:443/fum/handle/fum/1052216
Keyword(s): computer science education,n educational institutions,n further education,n information dissemination,n information systems,n knowledge management,n security of data,n training,n IS security awareness development,n IS security training program,n end user compliance,n end user knowledge,n federal regulations,n higher education Institutions,n information capture,n information dissemination,n information storage,n information systems security polic
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    Low-level processing of PolSAR images with binary partition trees

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contributor authorSalembier, P.
contributor authorFoucher, S.
contributor authorLopez-Martinez, C.
date accessioned2020-03-12T21:32:33Z
date available2020-03-12T21:32:33Z
date issued2014
identifier other6946602.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1052216
formatgeneral
languageEnglish
publisherIEEE
titleLow-level processing of PolSAR images with binary partition trees
typeConference Paper
contenttypeMetadata Only
identifier padid8182373
subject keywordscomputer science education
subject keywordsn educational institutions
subject keywordsn further education
subject keywordsn information dissemination
subject keywordsn information systems
subject keywordsn knowledge management
subject keywordsn security of data
subject keywordsn training
subject keywordsn IS security awareness development
subject keywordsn IS security training program
subject keywordsn end user compliance
subject keywordsn end user knowledge
subject keywordsn federal regulations
subject keywordsn higher education Institutions
subject keywordsn information capture
subject keywordsn information dissemination
subject keywordsn information storage
subject keywordsn information systems security polic
identifier doi10.1109/HICSS.2014.427
journal titleeoscience and Remote Sensing Symposium (IGARSS), 2014 IEEE International
filesize1990489
citations0
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