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1 Ergebnisse
1
Uksd-Net: an Unsupervised Knowledge-Guided Symmetric Deep N..:
, In:
IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium
,
Li, Ziqi
;
Zhu, Qiqi
;
Shao, Yihui
.. - p. 2362-2365 , 2022
Link:
https://doi.org/10.1109/IGARSS46834.2022.9884934
RT T1 <cTitle>IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Uksd-Net: an Unsupervised Knowledge-Guided Symmetric Deep Network for Forest Burned Areas Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9884934&Exemplar=1&LAN=DE A1 Li, Ziqi A1 Zhu, Qiqi A1 Shao, Yihui A1 Guo, Xi A1 Guan, Qingfeng YR 2022 SN 2153-7003 K1 Training K1 Knowledge engineering K1 Economics K1 Image segmentation K1 Uncertainty K1 Forestry K1 Feature extraction K1 remote sensing K1 burned areas detection K1 multi-index combination K1 Fuzzy C-Means K1 background suppression SP 2362 OP 2365 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS46834.2022.9884934 DO https://doi.org/10.1109/IGARSS46834.2022.9884934 SF ELIB - SuUB Bremen
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