2022 IEEE GRSS Data Fusion Contest: Semi-supervised Learning for Land Cover Classification

2022 IEEE GRSS Data Fusion Contest: Semi-supervised Learning for Land Cover Classification

The 2022 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), was opened on January 3, 2022. The 2022 Data Fusion Contest consists of two challenge tracks:

  • Track SLM: Semi-supervised Land Cover Mapping

  • Track BNI: Brave New Ideas

The final phase was from March 7 to March 11, 2022. The final ranking is available at

We would like to thank all the participants for their submissions. Evaluation and ranking were conducted by the organizers, who carefully checked all valid submissions. The winners are reported below along with their metrics over the undisclosed ground truth samples.

Winners of Track SLM

1st Place

Team: IPIU-XDU
Members: Xiaoqiang Lu, Guojin Cao, Tong Gou
Affiliation: Xidian University, Ministry of Education, Xi’an University of Technology
Score: 0.534

2nd Place

Team: Ashelee
Members: Zhuohong Li, Jiaqi Zou, Fangxiao Lu, Hongyan Zhang
Affiliation: Wuhan University
Score: 0.530

3rd Place

Team: bxh
Members: Qi Zang
Affiliation: Xidian University
Score: 0.498

4th Place

Team: ygjwsl
Members: Yi Gao, Xingyu Ding, Guangyi Yang
Affiliation: Wuhan University
Score: 0.496

Winners of Track BNI

Unfortunately, we did not receive a sufficient number of valid submissions for this track. This is why we decided to cancel it and instead award one more team in Track SLM.

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