Rongjun Qin, TDAI faculty member and assistant professor in the College of Engineering at Ohio State whose research is focused on geospatial data analytics, recently competed in the 2020 IEEE GRSS Data Fusion Contest. This contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS) and the Technical University of Munich, opened in December 2019. The final phase was opened March 1 and closed March 20. In total, there were 159 registrations, and only 33 teams were selected to enter the final phase of the contest.
“The competition is about using data analytics and machine learning techniques for remote sensing image analysis,” Qin notes. “Teams from all over the world from universities and institutes develop algorithms synchronously and compete for accuracy.”
Qin and his team members, Huijun Chen, Changlin Xiao, and Wei Liu, took first place in the Track 2 category, “Land cover classification with low- and high-resolution labels.” They also competed in the Track 1 category, “Land cover classification with low-resolution labels” and were awarded fourth place. In the 2019 the team competed in the IEEE GRSS Data Fusion Contest and won second place in the Pairwise Semantic Stereo Challenge.
To read more about the competition, click here.
Congratulations to Dr. Qin and his team on these incredible awards.