Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation-Reference-Cited by-同舟云学术

Bridging the European Earth-Observation and AI Communities for Data-Intensive Innovation

Published:2023-07 Issue: Volume: Page:
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Container-title:2023 IEEE Ninth International Conference on Big Data Computing Service and Applications (BigDataService)
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Author:

Troumpoukis Antonis¹,Klampanos Iraklis¹,Pantazi Despina-Athanasia²,Tsalapati Eleni²,Albughdadi Mohanad³,Alexe Mihai³,Baousis Vasileios³,Barrilero Omar⁴,Billière Bryce⁵,Bojor Alexandra⁶,Branco Pedro⁷,Bruzzone Lorenzo⁸,Chietera Andreina⁹,Fournand Philippe¹⁰,Hall Richard¹¹,Hassan David⁹,Lazzarini Michele⁴,Luna Adrian⁴,Punjani Dharmen²,Stamoulis George²,Weikmann Giulio⁶,Ziółkowski Marcin¹²,Ziouvelou Xenia¹,Koubarakis Manolis²,Karkaletsis Vangelis¹

Affiliation:

1. National Centre for Scientific Research “Demokritos”,Greece

2. National and Kapodistrian University of Athens,Greece

3. European Centre for Medium-Range Weather Forecasts,UK

4. European Union Satellite Centre,Spain

5. Thales Alenia Space,France

6. SISTEMA GmbH,Austria

7. Xilbi Sistemas de Informacion SL,Spain

8. University of Trento,Italy

9. Thales Six GTS France SAS,France

10. Blue-Sight Conseil,France

11. Equinor ASA,Norway

12. CloudFerro Sp. z o. o.,Poland

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233921/10233922/10233924.pdf?arnumber=10233924

Reference13 articles.

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3. ExtremeEarth Meets Satellite Data From Space

4. The MELODIES project: integrating diverse data using Linked Data and cloud computing;blower;Proc of the 2014 Conference on Big Data from Space (BiDS ’14) ESA-ESRIN Frascati Italy November 12-14,2014

5. An experimental comparison of neural and statistical non-parametric algorithms for supervised classification of remote-sensing images

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