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A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks

Qiu, Chunping and Schmitt, Michael and Geiß, Christian and Chen, Tzu-Hsin Karen and Zhu, Xiao Xiang (2020) A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks. ISPRS Journal of Photogrammetry and Remote Sensing, 163, pp. 152-170. Elsevier. DOI: 10.1016/j.isprsjprs.2020.01.028 ISSN 0924-2716

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Official URL: http://www.sciencedirect.com/science/article/pii/S0924271620300344


Item URL in elib:https://elib.dlr.de/134485/
Document Type:Article
Title:A framework for large-scale mapping of human settlement extent from Sentinel-2 images via fully convolutional neural networks
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Qiu, ChunpingTechnical University MünchenUNSPECIFIED
Schmitt, Michaelm.schmitt (at) tum.deUNSPECIFIED
Geiß, ChristianChristian.Geiss (at) dlr.deUNSPECIFIED
Chen, Tzu-Hsin KarenDepartment of Environmental Science, Aarhus University, DenmarkUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:2020
Journal or Publication Title:ISPRS Journal of Photogrammetry and Remote Sensing
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:163
DOI :10.1016/j.isprsjprs.2020.01.028
Page Range:pp. 152-170
Publisher:Elsevier
ISSN:0924-2716
Status:Published
Keywords:Built-up area, Convolutional neural networks, Human settlement extent, Sentinel-2, Urbanization
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Earth Observation
DLR - Research area:Raumfahrt
DLR - Program:R EO - Erdbeobachtung
DLR - Research theme (Project):R - Vorhaben hochauflösende Fernerkundungsverfahren
Location: Oberpfaffenhofen
Institutes and Institutions:Remote Sensing Technology Institute > EO Data Science
Deposited By: Yao, Jing
Deposited On:26 Mar 2020 10:43
Last Modified:03 Apr 2020 10:48

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