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Mapping human settlements with Sentinel-2 imagery and deep neural networks.

Qiu, Chunping and Schmitt, Michael and Taubenböck, Hannes and Zhu, Xiao Xiang (2019) Mapping human settlements with Sentinel-2 imagery and deep neural networks. In: 2019 Joint Urban Remote Sensing Event (JURSE), pp. 1-4. IEEE. JURSE 2019, 21.-24.05.2019, Vannes, France.

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Official URL: https://ieeexplore.ieee.org/abstract/document/8809009/footnotes#footnotes


This paper explores the potential of multi-spectral Sentinel-2 imagery for human settlement mapping, using deep learning based methods. We show first results of a study area in central Europe, with an attention-based ResNeXt to better exploit the spectral information. Reasonable mapping accuracy has been achieved, compared to the state-of-the-art products. Based on the results and comparison with the existing products, we discuss two interesting questions: how can human settlement mapping be made consistent with or complementary to the existing human settlement maps and how can further improvement in human settlement mapping be achieved by exploring deep learning-based approaches?

Item URL in elib:https://elib.dlr.de/130825/
Document Type:Conference or Workshop Item (Speech)
Title:Mapping human settlements with Sentinel-2 imagery and deep neural networks.
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Qiu, ChunpingTechnichal University MünchenUNSPECIFIED
Schmitt, MichaelMichael.Schmitt (at) bv.tu-muenchen.deUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.dehttps://orcid.org/0000-0003-4360-9126
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:May 2019
Journal or Publication Title:2019 Joint Urban Remote Sensing Event (JURSE)
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:Deep Learning, urban remote sensing, Sentinel-2, ResNeXt
Event Title:JURSE 2019
Event Location:Vannes, France
Event Type:international Conference
Event Dates:21.-24.05.2019
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 - Remote sensing and geoscience
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Remote Sensing Technology Institute > EO Data Science
Deposited By: Taubenböck, Dr. Hannes
Deposited On:02 Dec 2019 11:29
Last Modified:05 Feb 2020 16:40

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