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Extraction of Solar Photovoltaic Panels Based on High-Resol..:
, In:
2023 5th International Conference on Geoscience and Remote Sensing Mapping (GRSM)
,
Ru, Songnan
;
Wang, Ningbo
;
Shen, Yongtian
... - p. 176-181 , 2023
Link:
https://doi.org/10.1109/GRSM60169.2023.10425362
RT T1 <cTitle>2023 5th International Conference on Geoscience and Remote Sensing Mapping (GRSM)</cTitle>: T1 <Title>Extraction of Solar Photovoltaic Panels Based on High-Resolution Remote Sensing Images</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10425362&Exemplar=1&LAN=DE A1 Ru, Songnan A1 Wang, Ningbo A1 Shen, Yongtian A1 Huang, Song A1 Yu, Chuanyong A1 Jia, Peng A1 Wang, Haiyan A1 Zeng, Zhe A1 Chen, Zhipeng A1 Yu, Jianwei YR 2023 K1 Satellites K1 Semantic segmentation K1 Predictive models K1 Feature extraction K1 Solar panels K1 Convolutional neural networks K1 Remote sensing K1 component K1 photovoltaic panels K1 global convolutional network (GCN) K1 automated extraction SP 176 OP 181 LK http://dx.doi.org/https://doi.org/10.1109/GRSM60169.2023.10425362 DO https://doi.org/10.1109/GRSM60169.2023.10425362 SF ELIB - SuUB Bremen
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