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ML iterative superresolution approach for real-beam radar

date accessioned2020-03-12T20:32:41Z
date available2020-03-12T20:32:41Z
date issued2014
identifier other6875778.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/1017850?show=full
formatgeneral
languageEnglish
publisherIEEE
titleML iterative superresolution approach for real-beam radar
typeConference Paper
contenttypeMetadata Only
identifier padid8141994
subject keywordsartificial satellites
subject keywordscalibration
subject keywordsradiometers
subject keywordsremote sensing
subject keywordsAMSR2 microwave radiometer
subject keywordsChina
subject keywordsECWMF data
subject keywordsHY-2 satellite
subject keywordsWindSat satellite
subject keywordsin-orbit calibration
subject keywordsscanning microwave radiometer
subject keywordsBrightness temperature
subject keywordsCalibration
subject keywordsMicrowave radiometry
subject keywordsMicrowave theory and techniques
subject keywordsOcean temperature
subject keywordsSatellite broadcasting
subject keywordsSatellites
subject keywordsCalibration
subject keywordsHY-2
subject keywordsScanning Microwave Radiometer (RM)
subject keywordsWindSat
identifier doi10.1109/IGARSS.2014.6946838
journal titleadar Conference, 2014 IEEE
filesize221407
citations0
contributor rawauthorYin Zhang , Yongchao Zhang , Yulin Huang , Jianyu Yang , Yuebo Zha , Junjie Wu , Haiguang Yang


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