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First Results of Ship Wake Detection by Deep Learning Techn..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Esposito, Claudio
;
Del Prete, Roberto
;
Graziano, Maria Daniela
. - p. 2167-2170 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9883511
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>First Results of Ship Wake Detection by Deep Learning Techniques in Multispectral Spaceborne Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9883511&Exemplar=1&LAN=DE A1 Esposito, Claudio A1 Del Prete, Roberto A1 Graziano, Maria Daniela A1 Renga, Alfredo YR 2022 SN 2153-7003 K1 Training K1 Image segmentation K1 Satellites K1 Image resolution K1 Globalization K1 Geoscience and remote sensing K1 Optical imaging K1 Mask R-CNN K1 ship wake K1 wake detection K1 wake chip K1 optical images SP 2167 OP 2170 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9883511 DO https://doi.org/10.1109/IGARSS46834.2022.9883511 SF ELIB - SuUB Bremen
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