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Schmitt, Michael and Ghamisi, Pedram and Yokoya, Naoto and Hänsch, Ronny (2022) EOD: The IEEE GRSS Earth Observation Database. In: 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022, pp. 5365-5368. IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium, Kuala Lumpur, Malaysia. doi: 10.1109/IGARSS46834.2022.9884725. ISBN 978-166542792-0.
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Official URL: https://ieeexplore.ieee.org/abstract/document/9884725
Abstract
In the era of deep learning, annotated datasets have become a crucial asset to the remote sensing community. In the last decade, a plethora of different datasets was published, each designed for a specific data type and with a specific task or application in mind. In the jungle of remote sensing datasets, it can be hard to keep track of what is available already. With this paper, we introduce EOD - the IEEE GRSS Earth Observation Database (EOD) - an interactive online platform for cataloguing different types of datasets leveraging remote sensing imagery.
| Item URL in elib: | https://elib.dlr.de/191310/ | ||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Speech) | ||||||||||||||||||||
| Title: | EOD: The IEEE GRSS Earth Observation Database | ||||||||||||||||||||
| Authors: |
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| Date: | July 2022 | ||||||||||||||||||||
| Journal or Publication Title: | 2022 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2022 | ||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||
| Open Access: | No | ||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||
| In ISI Web of Science: | No | ||||||||||||||||||||
| DOI: | 10.1109/IGARSS46834.2022.9884725 | ||||||||||||||||||||
| Page Range: | pp. 5365-5368 | ||||||||||||||||||||
| ISBN: | 978-166542792-0 | ||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||
| Keywords: | Benchmark, Dataset, Earth Observation, Deep Learning, Machine Learning | ||||||||||||||||||||
| Event Title: | IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium | ||||||||||||||||||||
| Event Location: | Kuala Lumpur, Malaysia | ||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||
| HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||
| HGF - Program: | Space | ||||||||||||||||||||
| HGF - Program Themes: | Earth Observation | ||||||||||||||||||||
| DLR - Research area: | Raumfahrt | ||||||||||||||||||||
| DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||
| DLR - Research theme (Project): | R - Artificial Intelligence | ||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||
| Institutes and Institutions: | Microwaves and Radar Institute > SAR Technology | ||||||||||||||||||||
| Deposited By: | Hänsch, Ronny | ||||||||||||||||||||
| Deposited On: | 01 Dec 2022 13:15 | ||||||||||||||||||||
| Last Modified: | 01 Dec 2022 13:15 |
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