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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. ISSN 1545-598X.

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Abstract

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.

Document Type:Article
Title:Pattern-Based Accuracy Assessment of an Urban Footprint Classification Using TerraSAR-X Data
Authors:
AuthorsInstitution or Email of Authors
Taubenböck, Hannes hannes.taubenboeck@dlr.de
Esch, ThomasThomas.Esch@dlr.de
Felbier, Andreasandreas.felbier@dlr.de
Roth, AchimAchim.Roth@dlr.de
Dech, Stefanstefan.dech@dlr.de
Date:March 2011
Journal or Publication Title:IEEE Geoscience and Remote Sensing Letters
Refereed publication:Yes
In Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:8
Page Range:pp. 278-282
ISSN:1545-598X
Status:Published
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: Dr. Hannes Taubenböck
Deposited On:12 Apr 2011 12:41
Last Modified:22 Apr 2013 11:17

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