Details
| Original language | English |
|---|---|
| Pages (from-to) | 931-938 |
| Number of pages | 8 |
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 33 |
| Publication status | Published - 2000 |
| Externally published | Yes |
| Event | 19th International Congress for Photogrammetry and Remote Sensing, ISPRS 2000 - Amsterdam, Netherlands Duration: 16 Jul 2000 → 23 Jul 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.
Keywords
- Data aggregation, Generalization, GIS - spatial databases, Multi-scale database
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 33, 2000, p. 931-938.
Research output: Contribution to journal › Conference article › Research › 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 -