Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest-Reference-Cited by-同舟云学术

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Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest

Published:2021 Issue: Volume:14 Page:3185-3199
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:

Robinson Caleb,Malkin Kolya,Jojic Nebojsa,Chen Huijun,Qin Rongjun^ORCID,Xiao Changlin,Schmitt Michael^ORCID,Ghamisi Pedram^ORCID,Hansch Ronny^ORCID,Yokoya Naoto^ORCID

Funder

Office of Naval Research

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/9314330/09369830.pdf?arnumber=9369830

Cited by 41 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

1. Weak Labeling for Cropland Mapping in Africa;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

2. Multi-Source Land Cover Classification with an Integrated Feature Set in Mekong Basin;IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium;2024-07-07

3. 2024 IEEE GRSS Data Fusion Contest: Rapid Flood Mapping [Technical Committees];IEEE Geoscience and Remote Sensing Magazine;2024-06

4. Open-World Recognition in Remote Sensing: Concepts, challenges, and opportunities;IEEE Geoscience and Remote Sensing Magazine;2024-06

5. Ground Truth in Classification Accuracy Assessment: Myth and Reality;Geomatics;2024-02-16

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