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A Deep Learning Approach to Ship Detection and Characteriza..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Povoli, Sergio
;
Di Donna, Mauro
;
Macina, Flavia
... - p. 643-646 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9883167
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>A Deep Learning Approach to Ship Detection and Characterization from Multiresolution Satellite SAR Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9883167&Exemplar=1&LAN=DE A1 Povoli, Sergio A1 Di Donna, Mauro A1 Macina, Flavia A1 Avolio, Corrado A1 Zavagli, Massimo A1 Costantini, Mario A1 Bruzzone, Lorenzo YR 2022 SN 2153-7003 K1 Deep learning K1 Satellites K1 Parameter estimation K1 Surveillance K1 Geoscience and remote sensing K1 Object detection K1 Radar polarimetry K1 Ship detection K1 SAR K1 ship characterization K1 Oriented YOLOv3 SP 643 OP 646 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9883167 DO https://doi.org/10.1109/IGARSS46834.2022.9883167 SF ELIB - SuUB Bremen
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