Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 187-192 |
| Seitenumfang | 6 |
| Fachzeitschrift | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Jahrgang | 34 |
| Publikationsstatus | Veröffentlicht - 2003 |
| Veranstaltung | 2003 ISPRS Workshop on Photogrammetric Image Analysis, PIA 2003 - Munich, Deutschland Dauer: 17 Sept. 2003 → 19 Sept. 2003 |
Abstract
Digital spatial data are subject to temporal changes. The common approach to verify and update the data is to superimpose the data with up-to-date orthophotos and check the correctness interactively. This is a very time consuming and expensive process. We propose a method for the automatic quality surveillance of GIS data, in particular in respect to changes of settlement and industrial areas. These classes correspond to the classes defined for the German ATKIS® geodata. In this paper the up-to-dateness of ATKIS is checked by use of a high resolution color aerial image of a scene near Hannover. The analysis uses the knowledge-based system GEOAIDA, which allows an intelligent, clearly structured, and flexible control of a scene interpretation by utilizing a semantic scene description. GEOAIDA is extended to use a state transition graph that models possible expected temporal transitions in the scene. The system produces a hierarchic, pictorial description of the results while the structural context of the identified objects including the associated attributes is preserved in a graph. The results of a quality surveillance procedure in the examined GIS data are illustrated.
ASJC Scopus Sachgebiete
- Informatik (insg.)
- Information systems
- Sozialwissenschaften (insg.)
- Geografie, Planung und Entwicklung
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in: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Jahrgang 34, 2003, S. 187-192.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Automatic quality surveillance of GIS data with GEOAIDA
AU - Müller, S.
AU - Weis, M.
AU - Liedtke, C. E.
AU - Pahl, M.
N1 - Publisher Copyright: © 2003 International Society for Photogrammetry and Remote Sensing. All rights reserved.
PY - 2003
Y1 - 2003
N2 - Digital spatial data are subject to temporal changes. The common approach to verify and update the data is to superimpose the data with up-to-date orthophotos and check the correctness interactively. This is a very time consuming and expensive process. We propose a method for the automatic quality surveillance of GIS data, in particular in respect to changes of settlement and industrial areas. These classes correspond to the classes defined for the German ATKIS® geodata. In this paper the up-to-dateness of ATKIS is checked by use of a high resolution color aerial image of a scene near Hannover. The analysis uses the knowledge-based system GEOAIDA, which allows an intelligent, clearly structured, and flexible control of a scene interpretation by utilizing a semantic scene description. GEOAIDA is extended to use a state transition graph that models possible expected temporal transitions in the scene. The system produces a hierarchic, pictorial description of the results while the structural context of the identified objects including the associated attributes is preserved in a graph. The results of a quality surveillance procedure in the examined GIS data are illustrated.
AB - Digital spatial data are subject to temporal changes. The common approach to verify and update the data is to superimpose the data with up-to-date orthophotos and check the correctness interactively. This is a very time consuming and expensive process. We propose a method for the automatic quality surveillance of GIS data, in particular in respect to changes of settlement and industrial areas. These classes correspond to the classes defined for the German ATKIS® geodata. In this paper the up-to-dateness of ATKIS is checked by use of a high resolution color aerial image of a scene near Hannover. The analysis uses the knowledge-based system GEOAIDA, which allows an intelligent, clearly structured, and flexible control of a scene interpretation by utilizing a semantic scene description. GEOAIDA is extended to use a state transition graph that models possible expected temporal transitions in the scene. The system produces a hierarchic, pictorial description of the results while the structural context of the identified objects including the associated attributes is preserved in a graph. The results of a quality surveillance procedure in the examined GIS data are illustrated.
KW - GIS
KW - Knowledge based image interpretation
KW - Quality control
KW - Semantic net
KW - Sensor fusion
UR - http://www.scopus.com/inward/record.url?scp=27744475219&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:27744475219
VL - 34
SP - 187
EP - 192
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
T2 - 2003 ISPRS Workshop on Photogrammetric Image Analysis, PIA 2003
Y2 - 17 September 2003 through 19 September 2003
ER -