Abstract
The conflation of geographic: datasets is one of the key technologies in the front research area of spatial data capture and integration in Geographic Information Systems ( GIS) Map conflation is a complex process of matching and merging map data. Because various reasons relate to map data discrepancies, a great amount of uncertainties exist during the process. In the first step, selecting appropriate thresholds and handling one-many or many-many matching relationships are two difficulties in feature matching, which predetermines following map merging step.This paper proposed a probabilistic method for feature matching, which fuses a variety of criteria to calculate the matching probability. The feature pair with the highest probability can be determined to be matched. This method avoids selecting thresholds and attempts to resolve one-many and many-many matching relationship.
| Original language | Chinese (Simplified) |
|---|---|
| Pages (from-to) | 210-217 |
| Number of pages | 8 |
| Journal | Acta Geodaetica et Cartographica Sinica |
| Volume | 36 |
| Issue number | 2 |
| Publication status | Published - 1 Dec 2007 |
Keywords
- Feature matching
- Map conflation
- Multi-indicators fusion
- Probabilistic theory
ASJC Scopus subject areas
- Earth and Planetary Sciences(all)