The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity

• Published in: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14; pp. 12375 - 12385
• Main Authors: Ma, Yanbiao, Li, Yuxin, Feng, Kexin, Xia, Yu, Huang, Qi, Zhang, Hongyan, Prieur, Colin, Licciardi, Giorgio, Malha, Hana, Chanussot, Jocelyn, Ghamisi, Pedram, Hansch, Ronny, Yokoya, Naoto
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2021; Institute of Electrical and Electronics Engineers (IEEE); The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing; Artificial intelligence; Convolutional neural networks; Data integration; Data models; deep learning; Detection; Earth; Electricity; Engineering Sciences; Geophysics. Cosmic physics; Image analysis; image analysis and data fusion; Image processing; land cover change detection; Machine learning; multimodal; Multisensor fusion; Natural environment; Ocean engineering; QC801-809; random forests; Remote sensing; Satellite broadcasting; semantic segmentation; Semantics; Signal and Image processing; Task analysis; TC1501-1800; weak supervision; deep learning; land cover change detection; random forests; multimodal; Convolutional neural networks; image analysis and data fusion; weak supervision
• ISSN: 1939-1404; 2151-1535
• DOI: 10.1109/JSTARS.2021.3130446

In this article, we elaborate on the scientific outcomes of the 2021 Data Fusion Contest (DFC2021), which was organized by the Image Analysis and Data Fusion Technical Committee of the IEEE Geoscience and Remote Sensing Society, on the subject of geospatial artificial intelligence for social good. The ultimate objective of the contest was to model the state and changes of artificial and natural environments from multimodal and multitemporal remotely sensed data towards sustainable developments. DFC2021 consisted of two challenge tracks: Detection of settlements without electricity (DSE) and multitemporal semantic change detection. We focus here on the outcome of the DSE track. This article presents the corresponding approaches and reports the results of the best-performing methods during the contest.