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EOD: The IEEE GRSS Earth Observation Database

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.

Full text not available from this repository.

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/
Document Type:Conference or Workshop Item (Speech)
Title:EOD: The IEEE GRSS Earth Observation Database
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schmitt, MichaelUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ghamisi, PedramUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Yokoya, NaotoUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
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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