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The Outcome of the 2021 IEEE GRSS Data Fusion Contest - Track DSE: Detection of Settlements Without Electricity
- Source :
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 12375-12385 (2021)
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- In this paper, 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 (AI) 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 (MSD). We focus here on the outcome of the DSE track. This paper presents the corresponding approaches and reports the results of the best-performing methods during the contest.
- Subjects :
- random forests
Atmospheric Science
Geospatial analysis
Computer science
Geophysics. Cosmic physics
computer.software_genre
Track (rail transport)
CONTEST
Outcome (game theory)
Human settlement
Machine learning
Technical committee
Computers in Earth Sciences
TC1501-1800
QC801-809
business.industry
multimodal
deep learning
Sensor fusion
Data science
semantic segmentation
Ocean engineering
Convolutional neural networks
image analysis and data fusion
Electricity
business
computer
land cover change detection
Subjects
Details
- ISSN :
- 21511535 and 19391404
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Accession number :
- edsair.doi.dedup.....c54c3fc5933f74518224174413d56905