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There Are No Data Like More Data: Datasets for deep learning in Earth observation

Schmitt, Michael and Ahmadi, Seyed Ali and Xu, Yonghao and Taşkin, Gülşen and Verma, Ujjwal and Sica, Francescopaolo and Hänsch, Ronny (2023) There Are No Data Like More Data: Datasets for deep learning in Earth observation. IEEE Geoscience and Remote Sensing Magazine (GRSM), 11 (3), pp. 63-97. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/MGRS.2023.3293459. ISSN 2168-6831.

Full text not available from this repository.

Official URL: https://dx.doi.org/10.1109/MGRS.2023.3293459


Item URL in elib:https://elib.dlr.de/200091/
Document Type:Article
Title:There Are No Data Like More Data: Datasets for deep learning in Earth observation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schmitt, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-0575-2362UNSPECIFIED
Ahmadi, Seyed AliUNSPECIFIEDhttps://orcid.org/0000-0003-3920-2390UNSPECIFIED
Xu, YonghaoUNSPECIFIEDhttps://orcid.org/0000-0002-6857-0152UNSPECIFIED
Taşkin, GülşenUNSPECIFIEDhttps://orcid.org/0000-0002-2294-4462UNSPECIFIED
Verma, UjjwalUNSPECIFIEDhttps://orcid.org/0000-0002-6133-5379UNSPECIFIED
Sica, FrancescopaoloUNSPECIFIEDhttps://orcid.org/0000-0003-1593-1492UNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Date:9 August 2023
Journal or Publication Title:IEEE Geoscience and Remote Sensing Magazine (GRSM)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:11
DOI:10.1109/MGRS.2023.3293459
Page Range:pp. 63-97
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2168-6831
Status:Published
Keywords:Machine Learning, benchmark
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:30 Nov 2023 13:15
Last Modified:15 Jan 2024 10:57

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