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1
DeepSat : a learning framework for satellite imagery:
, In:
Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems
,
Basu, Saikat
;
Ganguly, Sangram
;
Mukhopadhyay, Supratik
... - p. 1-10 , 2015
Link:
https://dl.acm.org/doi/10.1145/2820783.2820816
RT T1 <cTitle>Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems</cTitle>: T1 <Title>DeepSat : a learning framework for satellite imagery</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2820816&Exemplar=1&LAN=DE A1 Basu, Saikat A1 Ganguly, Sangram A1 Mukhopadhyay, Supratik A1 DiBiano, Robert A1 Karki, Manohar A1 Nemani, Ramakrishna PB ACM YR 2015 K1 deep learning K1 high resolution K1 satellite imagery K1 Computing methodologies K1 Artificial intelligence K1 Philosophical/theoretical foundations of artificial intelligence K1 Computer vision K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Computer vision tasks K1 Scene understanding K1 Computer systems organization K1 Architectures K1 Other architectures SP 1 OP 10 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2820783.2820816 DO https://dl.acm.org/doi/10.1145/2820783.2820816 SF ELIB - SuUB Bremen
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