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1 Ergebnisse
1
Adatomo-Net: a Novel Deep Learning Approach for SAR Tomogra..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Hu, Yunqiao
;
Zhang, Xiaoling
;
Wei, Shunjun
... - p. 587-590 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9884028
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Adatomo-Net: a Novel Deep Learning Approach for SAR Tomography Imaging and Autofocusing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9884028&Exemplar=1&LAN=DE A1 Hu, Yunqiao A1 Zhang, Xiaoling A1 Wei, Shunjun A1 Ren, Yu A1 Wang, Nan A1 Shi, Jun YR 2022 SN 2153-7003 K1 Deep learning K1 Urban areas K1 Geoscience and remote sensing K1 Computer architecture K1 Tomography K1 Radar imaging K1 Sensors K1 TomoSAR K1 Compressed sensing K1 Phase error K1 Phase gradient Autofocusing SP 587 OP 590 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9884028 DO https://doi.org/10.1109/IGARSS46834.2022.9884028 SF ELIB - SuUB Bremen
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