Details
| Originalsprache | Englisch |
|---|---|
| Seiten (von - bis) | 931-938 |
| Seitenumfang | 8 |
| Fachzeitschrift | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Jahrgang | 33 |
| Publikationsstatus | Veröffentlicht - 2000 |
| Extern publiziert | Ja |
| Veranstaltung | 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Niederlande Dauer: 16 Juli 2000 → 23 Juli 2000 |
Abstract
The paper presents solutions for generalization problems using least squares adjustment theory. This concept allows for the introduction of several observations in terms of constraints and for a holistic solution of all these - possibly contrary and competing - constraints. Two examples are used to demonstrate the validity of this approach: the simplification of building ground plans and the displacement of arbitrary cartographic objects. Each approach is verified with several examples; furthermore, the integration of these different approaches is presented, in terms of the fusion of cadastral and topographic data.
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 33, 2000, S. 931-938.
Publikation: Beitrag in Fachzeitschrift › Konferenzaufsatz in Fachzeitschrift › Forschung › Peer-Review
}
TY - JOUR
T1 - Generalization based on least squares adjustment
AU - Sester, Monika
PY - 2000
Y1 - 2000
N2 - The paper presents solutions for generalization problems using least squares adjustment theory. This concept allows for the introduction of several observations in terms of constraints and for a holistic solution of all these - possibly contrary and competing - constraints. Two examples are used to demonstrate the validity of this approach: the simplification of building ground plans and the displacement of arbitrary cartographic objects. Each approach is verified with several examples; furthermore, the integration of these different approaches is presented, in terms of the fusion of cadastral and topographic data.
AB - The paper presents solutions for generalization problems using least squares adjustment theory. This concept allows for the introduction of several observations in terms of constraints and for a holistic solution of all these - possibly contrary and competing - constraints. Two examples are used to demonstrate the validity of this approach: the simplification of building ground plans and the displacement of arbitrary cartographic objects. Each approach is verified with several examples; furthermore, the integration of these different approaches is presented, in terms of the fusion of cadastral and topographic data.
KW - Data aggregation
KW - Generalization
KW - GIS - spatial databases
KW - Multi-scale database
UR - http://www.scopus.com/inward/record.url?scp=79960067510&partnerID=8YFLogxK
M3 - Conference article
AN - SCOPUS:79960067510
VL - 33
SP - 931
EP - 938
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 - 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000
Y2 - 16 July 2000 through 23 July 2000
ER -