2021 Data Fusion Contest: Geospatial Artificial Intelligence for Social Good [Technical Committees]
| Autor: | Naoto Yokoya, Colin Prieur, Pedram Ghamisi, Nebojsa Jojic, Ronny Hänsch, Hana Malha, Jocelyn Chanussot, Kolya Malkin, Caleb Robinson |
|---|---|
| Přispěvatelé: | RIKEN Center for Advanced Intelligence Project [Tokyo] (RIKEN AIP), RIKEN - Institute of Physical and Chemical Research [Japon] (RIKEN), Helmholtz-Zentrum Dresden-Rossendorf (HZDR), German Aerospace Center (DLR), Grenoble Images Parole Signal Automatique (GIPSA-lab), Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA), Hewlett Packard Enterprise (Hewlett Packard) (HPE), GIPSA - Signal Images Physique (GIPSA-SIGMAPHY), GIPSA Pôle Sciences des Données (GIPSA-PSD), Université Grenoble Alpes (UGA)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes (UGA)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP ), Université Grenoble Alpes (UGA)-Grenoble Images Parole Signal Automatique (GIPSA-lab), Georgia Institute of Technology [Atlanta], Yale University [New Haven], Microsoft Research [Redmond], Microsoft Corporation [Redmond, Wash.], ANR-19-P3IA-0003,MIAI,MIAI @ Grenoble Alpes(2019) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Geospatial analysis
010504 meteorology & atmospheric sciences General Computer Science Computer science 0211 other engineering and technologies 02 engineering and technology Sensor fusion CONTEST computer.software_genre 01 natural sciences Data science semantic segmentation Data Fusion Contest 13. Climate action General Earth and Planetary Sciences benchmarking Electrical and Electronic Engineering change detection Instrumentation computer [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing ComputingMilieux_MISCELLANEOUS 021101 geological & geomatics engineering 0105 earth and related environmental sciences |
| Zdroj: | IEEE geoscience and remote sensing magazine IEEE geoscience and remote sensing magazine, IEEE, 2021, 9 (1), pp.287-C3. ⟨10.1109/MGRS.2021.3055633⟩ IEEE Geoscience and Remote Sensing Magazine 9(2021)1, 287-C3 |
| ISSN: | 2168-6831 |
| Popis: | The 2021 Data Fusion Contest, organized by the Image Analysis and Data Fusion Technical Committee (IADF TC) of the IEEE Geoscience and Remote Sensing Society (GRSS), promotes research on geospatial artificial intelligence (AI) for social good. The global objective is to build models for understanding the state of and changes in artificial and natural environments from remote sensing data toward sustainable development. |
| Databáze: | OpenAIRE |
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