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Exploitation of textural and morphological image features in Sentinel-2A data for slum mapping

Wurm, Michael and Weigand, Matthias and Schmitt, Andreas and Geiß, Christian and Taubenböck, Hannes (2017) Exploitation of textural and morphological image features in Sentinel-2A data for slum mapping. IEEE. JURSE 2017, 2017-03-06 - 2017-03-08, Dubai, UAE. doi: 10.1109/JURSE.2017.7924586.

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In this paper we use image texture and morphological profiles for mapping slums in Sentinel-2A imagery. Varying sizes of the respective spatial descriptors (GLCM, differential morphological profiles) are tested for classification using a random forest classifier. Results are interpreted based on pixel-based and patch-based accuracy assessment. Best classification results have been reached at the pixel-based level with a kappa of 81.65 for the combined feature set with both GLCM and DMP. At the patch level, the analyses show that higher accuracies are reached with large kernel sizes and detection is better for large slum areas.

Item URL in elib:https://elib.dlr.de/111483/
Document Type:Conference or Workshop Item (Speech)
Title:Exploitation of textural and morphological image features in Sentinel-2A data for slum mapping
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Wurm, MichaelUNSPECIFIEDhttps://orcid.org/0000-0001-5967-1894UNSPECIFIED
Weigand, MatthiasUNSPECIFIEDhttps://orcid.org/0000-0002-5553-4152UNSPECIFIED
Geiß, ChristianUNSPECIFIEDhttps://orcid.org/0000-0002-7961-8553UNSPECIFIED
Taubenböck, HannesUNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Date:March 2017
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Page Range:pp. 1-4
Keywords:slum mapping; Sentinel-2A; random forest; GLCM texture; morphologic profiles.
Event Title:JURSE 2017
Event Location:Dubai, UAE
Event Type:international Conference
Event Start Date:6 March 2017
Event End Date:8 March 2017
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 - Vorhaben Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
German Remote Sensing Data Center > Land Surface
Deposited By: Wurm, Michael
Deposited On:27 Mar 2017 14:21
Last Modified:24 Apr 2024 20:16

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