AI4SeaIce: Toward Solving Ambiguous SAR Textures in Convolutional Neural Networks for Automatic Sea Ice Concentration Charting-Reference-Cited by-同舟云学术

AI4SeaIce: Toward Solving Ambiguous SAR Textures in Convolutional Neural Networks for Automatic Sea Ice Concentration Charting

Author:

Stokholm Andreas¹^ORCID,Wulf Tore²,Kucik Andrzej³,Saldo Roberto¹^ORCID,Buus-Hinkler Jorgen²^ORCID,Hvidegaard Sine Munk¹^ORCID

Affiliation:

1. DTU Space, National Space Institute, Technical University of Denmark (DTU), Kongens Lyngby, Denmark

2. Danish Meteorological Institute (DMI), Copenhagen, Denmark

3. European Space Agency (ESA) Φ-Lab, Explore Office, European Space Research Institute (ESRIN), ESA, Frascati, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Earth and Planetary Sciences,Electrical and Electronic Engineering

Link

Reference23 articles.

2. U-Net: Convolutional networks for biomedical image segmentation;ronneberger;Proc Int Conf Med Image Comput Comput -Assist Intervent,2015

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