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AutoSR4EO : An AutoML Approach to Super-Resolution for Earth Observation Images

; ; ; ; ;

In
Remote sensing 16(3), Seiten/Artikel-Nr.:443

ImpressumBasel : MDPI

Umfang[1]-24

ISSN2072-4292

Online
DOI: 10.3390/rs16030443

DOI: 10.18154/RWTH-2024-02138
URL: https://publications.rwth-aachen.de/record/980145/files/980145.pdf

Einrichtungen

  1. Lehrstuhl für Informatik 14 (Methodik der Künstlichen Intelligenz) (125710)
  2. Fachgruppe Informatik (120000)


Thematische Einordnung (Klassifikation)
DDC: 620

OpenAccess:
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Dokumenttyp
Journal Article

Format
online

Sprache
English

Anmerkung
Peer reviewed article

Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85184665295
WOS Core Collection: WOS:001160349400001

Interne Identnummern
RWTH-2024-02138
Datensatz-ID: 980145

Beteiligte Länder
Germany, Italy, Netherlands

Lizenzstatus der Zeitschrift

 GO


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125710

 Record created 2024-02-26, last modified 2025-10-23


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