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Using Dense Time-Series of C-Band Sar Imagery for Classific..:

, In: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium,

Robertson, Laura Dingle ; Planells, Milena ; Valero, Silvia... - p. 6231-6234 , 2019

Link: https://doi.org/10.1109/IGARSS.2019.8898364

RT 
T1 <cTitle>IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Using Dense Time-Series of C-Band Sar Imagery for Classification of Diverse, Worldwide Agricultural Systems</Title>

UL https://suche.suub.uni-bremen.de/peid=ieee-8898364&Exemplar=1&LAN=DE
				
A1 Robertson, Laura Dingle
A1 Planells, Milena
A1 Valero, Silvia
A1 Ahmadian, Nima
A1 Coffin, Alisa
A1 Bosch, David
A1 Cosh, Michael H.
A1 Siqueira, Paul
A1 Basso, Bruno
A1 Saliendra, Nicanor
A1 Davidson, Andrew
A1 McNairn, Heather
A1 Hosseini, Mehdi
A1 Mitchell, Scott
A1 Abelleyra, Diego de
A1 Veron, Santiago
A1 Defourny, Pierre
A1 le Maire, Guerric
YR 2019
SN 2153-7003
K1 Agriculture
K1 Synthetic aperture radar
K1 Radar polarimetry
K1 Optical imaging
K1 Optical sensors
K1 Adaptive optics
K1 Radio frequency
K1 JECAM
K1 GEOGLAM
K1 RADARSAT-2
K1 Sentinel-1
K1 Decision Tree
K1 Random Forest
K1 agriculture
SP 6231
OP 6234
LK http://dx.doi.org/https://doi.org/10.1109/IGARSS.2019.8898364
DO https://doi.org/10.1109/IGARSS.2019.8898364
SF ELIB - SuUB Bremen

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