Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge-Reference-Cited by-同舟云学术

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Estimating Soil Parameters From Hyperspectral Images: A benchmark dataset and the outcome of the HYPERVIEW challenge

Published:2024 Issue: Volume: Page:2-30
ISSN:2168-6831
Container-title:IEEE Geoscience and Remote Sensing Magazine
language:
Short-container-title:IEEE Geosci. Remote Sens. Mag.

Author:

Nalepa Jakub¹^ORCID,Tulczyjew Lukasz²^ORCID,Le Saux Bertrand³^ORCID,Longépé Nicolas⁴^ORCID,Ruszczak Bogdan⁵^ORCID,Wijata Agata M.¹^ORCID,Smykala Krzysztof⁶^ORCID,Myller Michal²^ORCID,Kawulok Michal¹^ORCID,Kuzu Ridvan Salih⁷^ORCID,Albrecht Frauke⁸,Arnold Caroline⁹^ORCID,Alasawedah Mohammad¹⁰,Angeli Suzanne¹¹,Nobileau Delphine¹²,Ballabeni Achille¹³,Lotti Alessandro¹³^ORCID,Locarini Alfredo¹³^ORCID,Modenini Dario¹³^ORCID,Tortora Paolo¹³^ORCID,Gumiela Michal²

Affiliation:

1. Silesian University of Technology, Gliwice, Poland

2. KP Labs, Gliwice, Poland

3. European Space Agency Φ-Lab, Frascati, Italy

4. Earth observation (EO) data scientist, Φ-Lab Explore Office, European Space Research Institute, European Space Agency, Frascati, Italy

5. Department of Informatics, Opole University of Technology, Opole, Poland

6. QZ Solutions, Opole, Poland

7. Roma Tre University, Rome, Italy

8. German Climate Computing Center, Germany

9. German Climate Computing Center and Helmholtz AI, Germany

10. Eurac Research, Bolzano, Italy

11. Capgemini Science&IA Team, France

12. Capgemini Application Services, France

13. University of Bologna, Bologna, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6245518/8976286/10526314.pdf?arnumber=10526314

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