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Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals

Verma, Ujjwal and Lunga, Dalton and Hänsch, Ronny and Persello, Claudio and Ullo, Silvia Liberata (2024) Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals. IEEE Geoscience and Remote Sensing Letters, 21, pp. 1-4. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/LGRS.2024.3454939. ISSN 1545-598X.

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Official URL: https://ieeexplore.ieee.org/document/10710332


Item URL in elib:https://elib.dlr.de/209268/
Document Type:Article
Title:Recent Advances in Machine Learning for Remote Sensing Toward the Sustainable Development Goals
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Verma, UjjwalUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Lunga, DaltonUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hänsch, RonnyUNSPECIFIEDhttps://orcid.org/0000-0002-2936-6765UNSPECIFIED
Persello, ClaudioUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Ullo, Silvia LiberataUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:9 October 2024
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:21
DOI:10.1109/LGRS.2024.3454939
Page Range:pp. 1-4
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1545-598X
Status:Published
Keywords:Machine learning;Remote sensing;Sustainable development;Data models;Autonomous aerial vehicles;Feature extraction;Ecosystems;Environmental monitoring;Image segmentation;Urban areas;Monitoring
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:25 Nov 2024 13:58
Last Modified:30 Jan 2025 15:47

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