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Pattern-Based Accuracy Assessment of an Urban Footprint Classification Using TerraSAR-X Data

Taubenböck, Hannes and Esch, Thomas and Felbier, Andreas and Roth, Achim and Dech, Stefan (2011) Pattern-Based Accuracy Assessment of an Urban Footprint Classification Using TerraSAR-X Data. IEEE Geoscience and Remote Sensing Letters, 8 (2), pp. 278-282. IEEE - Institute of Electrical and Electronics Engineers. ISSN 1545-598X.

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Assessing the accuracy of land-cover classifications is a major challenge in remote sensing. This is mostly due to the absence of geometrically and thematically highly resolved, reliable, area wide, and up-to-date reference data. This study focuses on a multifaceted accuracy assessment of an urban footprint classification derived from a single-polarized TerraSAR-X image in stripmap mode for the city of Padang in Indonesia. For this purpose, a pixel-based approach was used to identify the urbanized and nonurbanized areas. As reference, a geometrically and thematically highly resolved, accurate, and detailed 3-D city model is available. Based on this data, the classification result is assessed by basic methodologies—square measures and error matrix. Beyond that, the accuracy of the urban footprint classification is analyzed in dependence of the physical structure of the complex urban landscape—defined by built-up density and building volumes. Results reveal that the accuracy of classification results varies in dependence of the structural characteristics of the particular urban environment. Furthermore, the study shows what is thematically mapped by an urban footprint classification.

Item URL in elib:https://elib.dlr.de/69299/
Document Type:Article
Title:Pattern-Based Accuracy Assessment of an Urban Footprint Classification Using TerraSAR-X Data
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Taubenböck, Hannes UNSPECIFIEDhttps://orcid.org/0000-0003-4360-9126UNSPECIFIED
Esch, ThomasUNSPECIFIEDhttps://orcid.org/0000-0002-5868-9045UNSPECIFIED
Date:March 2011
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In ISI Web of Science:Yes
Page Range:pp. 278-282
Publisher:IEEE - Institute of Electrical and Electronics Engineers
Keywords:Accuracy, image classification, pattern analysis, radar remote sensing, urban areas
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center > Land Surface
Deposited By: Taubenböck, Prof. Dr. Hannes
Deposited On:12 Apr 2011 12:41
Last Modified:28 Mar 2023 23:39

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