Deep-Learning-Based Sea Ice Classification With Sentinel-1 and AMSR-2 Data-Reference-Cited by-同舟云学术

Deep-Learning-Based Sea Ice Classification With Sentinel-1 and AMSR-2 Data

Published:2023 Issue: Volume:16 Page:5514-5525
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Zhao Li¹^ORCID,Xie Tao²^ORCID,Perrie William³^ORCID,Yang Jingsong⁴^ORCID

Affiliation:

1. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, China

2. Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China

3. Department of Fisheries and Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS, Canada

4. State Key Laboratory of Satellite Ocean Environment Dynamics, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Postgraduate Research and Practice Innovation Program of Jiangsu Province

China Scholarship Council for 2 year's study at the Bedford Institute of Oceanography

Surface Water and Ocean Topography

MAXSS, the ESA initiative for Maximum Atmospheric eXtreme Satellite Synergy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

Reference57 articles.

2. Architecture-agnostic masked image modeling–from ViT back to CNN;li,2022

3. The AMSR-E NT2 sea ice concentration algorithm: Its basis and implementation;markus;J Remote Sens Soc Jpn,2009

4. An image is worth 16x16 words: Transformers for image recognition at scale;dosovitskiy;Proc Int Conf Learn Representations,0

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献