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Unbinds data and tasks to improving the Hadoop performance

date accessioned2020-03-12T23:23:08Z
date available2020-03-12T23:23:08Z
date issued2014
identifier other6888710.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1109568?locale-attribute=fa&show=full
formatgeneral
languageEnglish
publisherIEEE
titleUnbinds data and tasks to improving the Hadoop performance
typeConference Paper
contenttypeMetadata Only
identifier padid8278199
subject keywordsoceanographic regions
subject keywordsradar imaging
subject keywordsradar polarimetry
subject keywordsremote sensing by radar
subject keywordssea ice
subject keywordssurveillance
subject keywordssynthetic aperture radar
subject keywordsCanada
subject keywordsLabrador Sea
subject keywordsRadarsat satellite
subject keywordsRadarsat-2 fine-quad mode data
subject keywordscompact polarimetric data
subject keywordsiceberg detection
subject keywordsiceberg locations
subject keywordsiceberg monitoring
subject keywordsimaging modes
subject keywordsimproved detection performance
subject keywordslinear dual-pol SAR
subject keywordsmaritime surveillance
subject keywordsreceived polarization ellipse orientation
subject keywordssimulated Radarsat Constellation data
subject keywordssynthetic aperture radar
subject keywordsImaging
subject keywordsOc
identifier doi10.1109/IGARSS.2014.6946408
journal titleoftware Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD),
filesize2994293
citations0
contributor rawauthorKun Lu , Dong Dai , Xuehai Zhou , Mingming Sun , Changlong Li , Hang Zhuang


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