Deep Learning and Earth Observation to Support the Sustainable Development Goals

Persello, Claudio and Wegner, Jan-Dirk and Hänsch, Ronny and Tuia, Devis and Ghamisi, Pedram and Koeva, Mila and Camps-Valls, Gustau (2022) Deep Learning and Earth Observation to Support the Sustainable Development Goals. IEEE Geoscience and Remote Sensing Magazine (GRSM). IEEE - Institute of Electrical and Electronics Engineers. ISSN 2168-6831.

Full text not available from this repository.

Item URL in elib:

https://elib.dlr.de/146384/

Document Type:

Article

Title:

Deep Learning and Earth Observation to Support the Sustainable Development Goals

Authors:

Authors	Institution or Email of Authors	Author's ORCID iD
Persello, Claudio	UNSPECIFIED	UNSPECIFIED
Wegner, Jan-Dirk	UNSPECIFIED	UNSPECIFIED
Hänsch, Ronny	Ronny.Haensch (at) dlr.de	UNSPECIFIED
Tuia, Devis	UNSPECIFIED	UNSPECIFIED
Ghamisi, Pedram	UNSPECIFIED	UNSPECIFIED
Koeva, Mila	UNSPECIFIED	UNSPECIFIED
Camps-Valls, Gustau	UNSPECIFIED	UNSPECIFIED

Date:

2022

Journal or Publication Title:

IEEE Geoscience and Remote Sensing Magazine (GRSM)

Refereed publication:

Yes

Open Access:

Gold Open Access:

In SCOPUS:

Yes

In ISI Web of Science:

Yes

Publisher:

IEEE - Institute of Electrical and Electronics Engineers

ISSN:

2168-6831

Status:

Accepted

Keywords:

Sustainable Development Goals, Deep Learning

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:

29 Nov 2021 18:41

Last Modified:

10 Jan 2022 08:07

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