Semi-automatic quality control of topographic data sets

The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semi-automatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort...

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Main Authors: Helmholz, Petra, Becker, C., Breitkopf, U., Büschenfeld, T., Busch, A., Braun, C., Grünreich, D., Müller, S., Ostermann, J., Pahl, M., Rottensteiner, F., Vogt, K., Ziems, M., Heipke, C.
Format: Journal Article
Published: 2012
Online Access:http://hdl.handle.net/20.500.11937/7461
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author Helmholz, Petra
Becker, C.
Breitkopf, U.
Büschenfeld, T.
Busch, A.
Braun, C.
Grünreich, D.
Müller, S.
Ostermann, J.
Pahl, M.
Rottensteiner, F.
Vogt, K.
Ziems, M.
Heipke, C.
author_facet Helmholz, Petra
Becker, C.
Breitkopf, U.
Büschenfeld, T.
Busch, A.
Braun, C.
Grünreich, D.
Müller, S.
Ostermann, J.
Pahl, M.
Rottensteiner, F.
Vogt, K.
Ziems, M.
Heipke, C.
author_sort Helmholz, Petra
building Curtin Institutional Repository
collection Online Access
description The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semi-automatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort for quality control of a GIS database to a minimum. The core of the system is a semantic network in which different image analysis operators can be included. The image analysis operators are created for specific applications, i.e., the quality control of specific object classes which are most relevant. Images which can be used in the system are aerial images, high-resolution satellite imagery, and low-resolution satellite imagery. A prototype of the system has been in use for several years at public mapping organizations. From the experience gained during this time, we give a detailed report on the system performance and an evaluation of the results.
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institution Curtin University Malaysia
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spelling curtin-20.500.11937-74612017-09-13T14:34:28Z Semi-automatic quality control of topographic data sets Helmholz, Petra Becker, C. Breitkopf, U. Büschenfeld, T. Busch, A. Braun, C. Grünreich, D. Müller, S. Ostermann, J. Pahl, M. Rottensteiner, F. Vogt, K. Ziems, M. Heipke, C. The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semi-automatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort for quality control of a GIS database to a minimum. The core of the system is a semantic network in which different image analysis operators can be included. The image analysis operators are created for specific applications, i.e., the quality control of specific object classes which are most relevant. Images which can be used in the system are aerial images, high-resolution satellite imagery, and low-resolution satellite imagery. A prototype of the system has been in use for several years at public mapping organizations. From the experience gained during this time, we give a detailed report on the system performance and an evaluation of the results. 2012 Journal Article http://hdl.handle.net/20.500.11937/7461 10.14358/PERS.78.9.959 restricted
spellingShingle Helmholz, Petra
Becker, C.
Breitkopf, U.
Büschenfeld, T.
Busch, A.
Braun, C.
Grünreich, D.
Müller, S.
Ostermann, J.
Pahl, M.
Rottensteiner, F.
Vogt, K.
Ziems, M.
Heipke, C.
Semi-automatic quality control of topographic data sets
title Semi-automatic quality control of topographic data sets
title_full Semi-automatic quality control of topographic data sets
title_fullStr Semi-automatic quality control of topographic data sets
title_full_unstemmed Semi-automatic quality control of topographic data sets
title_short Semi-automatic quality control of topographic data sets
title_sort semi-automatic quality control of topographic data sets
url http://hdl.handle.net/20.500.11937/7461