A Novel Deep Learning-Based Approach for Rift and Iceberg Recognition From ICESat-2 Data-Reference-Cited by-同舟云学术

A Novel Deep Learning-Based Approach for Rift and Iceberg Recognition From ICESat-2 Data

Published:2024 Issue: Volume:62 Page:1-17
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Huang Zhengrui¹^ORCID,Wang Shujie²^ORCID,Alley Richard B.³^ORCID,Li Anqi⁴,Parizek Byron R.²^ORCID

Affiliation:

1. Department of Geography, The Pennsylvania State University, University Park, PA, USA

2. Department of Geography, Earth and Environmental Systems Institute, Institute for Computational and Data Sciences, The Pennsylvania State University, University Park, PA, USA

3. Department of Geosciences and the Earth and Environmental Systems Institute, The Pennsylvania State University, University Park, PA, USA

4. Department of Quantitative Methods in Social Sciences and the Institute for Social and Economic Research and Policy, Columbia University, Manhattan, NY, USA

Funder

National Aeronautics and Space Administration

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/36/10354519/10480730.pdf?arnumber=10480730

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5. Antarctic ice-shelf advance driven by anomalous atmospheric and sea-ice circulation

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