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Core-Set Selection for Data-Efficient Land Cover Segmentation

Nogueira, Keiller and Zaytar, Akram and Ma, Wanli and Roscher, Ribana and Hänsch, Ronny and Robinson, Caleb and Ortiz, Anthony and Fobi, Simone and Dodhia, Rahul and Ferres, Juan M. Lavista and Karakuş, Oktay and Rosin, Paul L. (2026) Core-Set Selection for Data-Efficient Land Cover Segmentation. IEEE Access, 14, pp. 19891-19903. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/ACCESS.2026.3659734. ISSN 2169-3536.

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Official URL: https://ieeexplore.ieee.org/document/11368852


Item URL in elib:https://elib.dlr.de/225462/
Document Type:Article
Title:Core-Set Selection for Data-Efficient Land Cover Segmentation
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Nogueira, KeillerUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Zaytar, AkramUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ma, WanliUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Roscher, RibanaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyRonny.Haensch (at) dlr.dehttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Robinson, CalebUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ortiz, AnthonyUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Fobi, SimoneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Dodhia, RahulUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ferres, Juan M. LavistaUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Karakuş, OktayUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Rosin, Paul L.UNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:30 January 2026
Journal or Publication Title:IEEE Access
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:14
DOI:10.1109/ACCESS.2026.3659734
Page Range:pp. 19891-19903
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:2169-3536
Status:Published
Keywords:Training;Remote sensing;Image segmentation;Computational modeling;Entropy;Data models;Land surface;Labeling;Complexity theory;Earth;Core-set selection;data-centric machine learning;land-cover classification;semantic segmentation
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:03 Jul 2026 15:17
Last Modified:03 Jul 2026 15:18

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