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Estimation of building density using TerraSAR-X-Data

Schmidt, Martin and Esch, Thomas and Klein, Doris and Thiel, Michael and Dech, Stefan (2010) Estimation of building density using TerraSAR-X-Data. In: Proceedings of IGARSS. IGARSS 2010, 25.-30. July 2010, Honolulu, Hawaii, USA.

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This study presents an approach towards the estimation of building density by utilizing the intensity data of the German space borne very high resolution SAR system TerraSAR-X. By using reference data we segmented a SAR scene of the city of Munich, Germany, on the scale of city blocks. Then we computed first order statistics and texture measures according to Haralick on the image objects. We used a random forests regression algorithm to establish the relationship between these features and the building density taken from reference data. The result is a promising coefficient of determination of 0.63.

Item URL in elib:https://elib.dlr.de/74222/
Document Type:Conference or Workshop Item (Speech)
Title:Estimation of building density using TerraSAR-X-Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schmidt, Martinmartin.schmidt (at) dlr.deUNSPECIFIED
Esch, Thomasthomas.esch (at) dlr.deUNSPECIFIED
Klein, Dorisdoris.klein (at) dlr.deUNSPECIFIED
Thiel, Michaelmichael.thiel (at) uni-wuerzburg.deUNSPECIFIED
Dech, Stefanstefan.dech (at) dlr.deUNSPECIFIED
Journal or Publication Title:Proceedings of IGARSS
Refereed publication:No
Open Access:No
Gold Open Access:No
In ISI Web of Science:No
Keywords:SAR, urban, building density, random forests, texture, GLCM, TerraSAR-X
Event Title:IGARSS 2010
Event Location:Honolulu, Hawaii, USA
Event Type:international Conference
Event Dates:25.-30. July 2010
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 - Geoscientific remote sensing and GIS methods
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Schmidt, Martin
Deposited On:24 Jan 2012 12:54
Last Modified:08 May 2014 23:22

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