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Mapping Human Settlements with Multi-seasonal Sentinel-2 Imagery and Attention-based ResNeXt

Qiu, Chunping and Schmitt, Michael and Taubenböck, Hannes and Zhu, Xiao Xiang (2019) Mapping Human Settlements with Multi-seasonal Sentinel-2 Imagery and Attention-based ResNeXt. JURSE 2019, France. DOI: 10.1109/JURSE.2019.8809009

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Official URL: https://ieeexplore.ieee.org/document/8809009

Abstract

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/132446/
Document Type:Conference or Workshop Item (Speech)
Title:Mapping Human Settlements with Multi-seasonal Sentinel-2 Imagery and Attention-based ResNeXt
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Qiu, ChunpingTUMUNSPECIFIED
Schmitt, MichaelTUMUNSPECIFIED
Taubenböck, Hanneshannes.taubenboeck (at) dlr.deUNSPECIFIED
Zhu, Xiao Xiangxiao.zhu (at) dlr.deUNSPECIFIED
Date:2019
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI :10.1109/JURSE.2019.8809009
Page Range:pp. 1-4
Status:Published
Keywords:Buildings, Urban areas, Satellites, Roads, Meters, Europe, Earth
Event Title:JURSE 2019
Event Location:France
Event Type:international Conference
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
German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Hong, Danfeng
Deposited On:06 Dec 2019 16:36
Last Modified:06 Dec 2019 16:36

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