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Object-Based Analysis and Fusion of Optical and SAR Satellite Data for Dwelling Detection in Refugee Camps

Spröhnle, Kristin and Fuchs, Eva-Maria and Aravena Pelizari, Patrick (2017) Object-Based Analysis and Fusion of Optical and SAR Satellite Data for Dwelling Detection in Refugee Camps. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 10 (5), pp. 1780-1791. IEEE - Institute of Electrical and Electronics Engineers. DOI: 10.1109/JSTARS.2017.2664982 ISSN 1939-1404

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Abstract

This study investigates the potential of very high spatial resolution (VHSR) optical WorldView-2 (WV-2) and single-polarized TerraSAR-X (TSX) synthetic aperture radar (SAR) satellite data for an automated detection of different dwelling types in a refugee camp by means of object-based image analysis (OBIA). First, the optical data and SAR data are analyzed independently, and then a fusion of both data sets is performed applying two different approaches: 1) an overlay operation-based procedure integrating the independent results of the optical- and SAR-based dwelling detection, and 2) a feature-based analysis approach taking advantage of the conjoint analysis of both data sets. The results of the single-sensor and the data fusion approaches are evaluated in detail on the basis of object-based and area-based accuracy assessments. Advantages and limitations of the analysis approaches are discussed. The accuracy rates reveal that the use of optical satellite data shows promising results regardless of the dwelling material, while the SAR data are suitable for the detection of metal sheet dwellings only. In complex camp areas, with closely spaced containers, the results of the independent analyses can be improved significantly by the proposed fusion approaches. The combination of SAR and optical data allows for the separation of contiguous dwellings in cases this was not possible by the optical sensor information.

Item URL in elib:https://elib.dlr.de/111971/
Document Type:Article
Title:Object-Based Analysis and Fusion of Optical and SAR Satellite Data for Dwelling Detection in Refugee Camps
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Spröhnle, KristinKristin.Sproehnle (at) dlr.dehttps://orcid.org/0000-0001-6878-3767
Fuchs, Eva-Mariaeva-maria.fuchs (at) dlr.deUNSPECIFIED
Aravena Pelizari, Patrickpatrick.aravenapelizari (at) dlr.deUNSPECIFIED
Date:May 2017
Journal or Publication Title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI :10.1109/JSTARS.2017.2664982
Page Range:pp. 1780-1791
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1939-1404
Status:Published
Keywords:Data fusion, dwelling detection, feature extraction, object-based image analysis (OBIA), refugee camp mapping, rule-based classification, synthetic aperture radar (SAR), very high spatial resolution (VHSR) data
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 Zivile Kriseninformation und Georisiken (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Geo Risks and Civil Security
Deposited By: Spröhnle, Kristin
Deposited On:11 Sep 2017 14:47
Last Modified:08 Mar 2018 18:32

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