Ice-Core Micro-CT Image Segmentation With Deep Learning and Gaussian Mixture Model
Author:
Affiliation:
1. Alfred-Wegener-Institut Helmholtz- Zentrum für Polar- und Meeresforschung, Bremerhaven, Germany
2. Faculty of Mathematics and Computer Science, University of Bremen, Bremen, Germanya
Funder
Open Access Publication Funds of Alfred Wegner Institute of Polar and Marine Science
Helmholtz School for Marine Data Science
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10323279.pdf?arnumber=10323279
Reference49 articles.
1. Ice Core Science Meets Computer Vision: Challenges and Perspectives
2. Microstructure of Snow and Its Link to Trace Elements and Isotopic Composition at Kohnen Station, Dronning Maud Land, Antarctica
3. Rapid Microstructure Analysis of Polar Ice Cores
4. Layer disturbances and the radio-echo free zone in ice sheets
5. Five millennia of surface temperatures and ice core bubble characteristics from the WAIS Divide deep core, West Antarctica
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