Bathymetry estimation using deep learning techniques

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    W[2018AGUFMIN21D0746G]
    LA["Linked Authors (0)"]
    LI["Linked Institutions (3)"]
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ADS bibcode
2018AGUFMIN21D0746G
year
2018
Listed Authors
Ghorbanidehno, H.
Lee, J. H.
Farthing, M.
Hesser, T.
Kitanidis, P. K.
Darve, E. F.
Listed Institutions
Mechanical Engineering, Stanford University, Stanford, CA, United States
Civil and Environmental Engineering, University of Hawai'i at Mānoa, Honolulu, HI, United States
US Army Corps of Engineers, Coastal and Hydraulics Laboratory, Vicksburg, MS, United States
US Army Corps of Engineers, Vicksburg, MS, United States
Department of Civil and Environmental Engineering, Stanford University, Stanford, CA, United States
Mechanical Engineering, Stanford University, Stanford, CA, United States

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