EisNet: Extracting Bedrock and Internal Layers From Radiostratigraphy of Ice Sheets With Machine Learning
EisNet: Extracting Bedrock and Internal Layers From Radiostratigraphy of Ice Sheets With Machine Learning
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EisNet:利用机器学习从冰盖放射地层学中提取基岩和内层
DOI:
10.1109/tgrs.2021.3136648
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发表时间:
2022
影响因子:
8.2
通讯作者:
Bo Sun
中科院分区:
文献类型:
--
作者:
Sheng Dong;Xueyuan Tang;Jingxue Guo;Lei Fu;Xiaofei Chen;Bo Sun
The ice–bedrock interfaces at the bottoms of ice sheets and the internal ice layers record the historical evolution of the ice sheets and are important indicators for inferring glacier dynamics and explaining subglacial topographies. Radar-detected bedroc
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影响因子:
2.5
作者:
E. Ziegel
通讯作者:
E. Ziegel
影响因子:
2.9
作者:
C. Panton
通讯作者:
C. Panton
影响因子:
4
作者:
R. Bingham;M. Siegert
通讯作者:
R. Bingham;M. Siegert
DOI:
10.1144/sp461.1
发表时间:
2017-05
期刊:
Geological Society, London, Special Publications
影响因子:
--
作者:
Bangbing Wang;Bo Sun;Carlos Martin;Fausto Ferraccioli;Daniel Steinhage;Xiangbin Cui;Martin J Siegert
通讯作者:
Martin J Siegert
影响因子:
4.8
作者:
D. Steiner;A. Pauling;S. U. Nussbaumer;A. Nesje;J. Luterbacher;H. Wanner;Heinz J. Zumbühl
通讯作者:
D. Steiner;A. Pauling;S. U. Nussbaumer;A. Nesje;J. Luterbacher;H. Wanner;Heinz J. Zumbühl