Details
| Original language | English |
|---|---|
| Pages (from-to) | 328-346 |
| Number of pages | 19 |
| Journal | ISPRS Journal of Photogrammetry and Remote Sensing |
| Volume | 62 |
| Issue number | 5 |
| Publication status | Published - 1 Jun 2007 |
Abstract
The integration of heterogeneous geospatial data offers possibilities to manually and automatically derive new information, which are not available when using only a single data source. Furthermore, it allows for a consistent representation and the propagation of updates from one data set to the other. However, different acquisition methods, data schemata and updating cycles of the content can lead to discrepancies in geometric and thematic accuracy and correctness which hamper the combined integration. To overcome these difficulties, appropriate methods for the integration and harmonization of data from different sources and of different types are needed. In this paper we describe two generic cases including novel integration algorithms, namely the integration of two heterogeneous vector data sets, and the integration of raster and vector data. Both algorithms are linked to a federated database which allows for automatic object matching and for managing n:m relationships. We describe and illustrate our work using vector data from topography and the geosciences, as well as multi-spectral imagery.
Keywords
- Federated databases, Image analysis, Integration, Matching, Raster data, Spatial infrastructures, Vector data
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Engineering(all)
- Engineering (miscellaneous)
- Computer Science(all)
- Computer Science Applications
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
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In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 62, No. 5, 01.06.2007, p. 328-346.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Integration of heterogeneous geospatial data in a federated database
AU - Butenuth, Matthias
AU - Gösseln, Guido v.
AU - Tiedge, Michael
AU - Heipke, Christian
AU - Lipeck, Udo
AU - Sester, Monika
N1 - Funding information: This work is part of the Geotechnologien project funded by the Federal Ministry for Education and Research (BMBF) and the German Council (DFG) under contract no. 30F0374A. The IKONOS images are provided by EC-MARS Programme—distributed by European Space Imaging, EUSI, 2004. The support is gratefully acknowledged.
PY - 2007/6/1
Y1 - 2007/6/1
N2 - The integration of heterogeneous geospatial data offers possibilities to manually and automatically derive new information, which are not available when using only a single data source. Furthermore, it allows for a consistent representation and the propagation of updates from one data set to the other. However, different acquisition methods, data schemata and updating cycles of the content can lead to discrepancies in geometric and thematic accuracy and correctness which hamper the combined integration. To overcome these difficulties, appropriate methods for the integration and harmonization of data from different sources and of different types are needed. In this paper we describe two generic cases including novel integration algorithms, namely the integration of two heterogeneous vector data sets, and the integration of raster and vector data. Both algorithms are linked to a federated database which allows for automatic object matching and for managing n:m relationships. We describe and illustrate our work using vector data from topography and the geosciences, as well as multi-spectral imagery.
AB - The integration of heterogeneous geospatial data offers possibilities to manually and automatically derive new information, which are not available when using only a single data source. Furthermore, it allows for a consistent representation and the propagation of updates from one data set to the other. However, different acquisition methods, data schemata and updating cycles of the content can lead to discrepancies in geometric and thematic accuracy and correctness which hamper the combined integration. To overcome these difficulties, appropriate methods for the integration and harmonization of data from different sources and of different types are needed. In this paper we describe two generic cases including novel integration algorithms, namely the integration of two heterogeneous vector data sets, and the integration of raster and vector data. Both algorithms are linked to a federated database which allows for automatic object matching and for managing n:m relationships. We describe and illustrate our work using vector data from topography and the geosciences, as well as multi-spectral imagery.
KW - Federated databases
KW - Image analysis
KW - Integration
KW - Matching
KW - Raster data
KW - Spatial infrastructures
KW - Vector data
UR - http://www.scopus.com/inward/record.url?scp=35148825049&partnerID=8YFLogxK
U2 - 10.1016/j.isprsjprs.2007.04.003
DO - 10.1016/j.isprsjprs.2007.04.003
M3 - Article
AN - SCOPUS:35148825049
VL - 62
SP - 328
EP - 346
JO - ISPRS Journal of Photogrammetry and Remote Sensing
JF - ISPRS Journal of Photogrammetry and Remote Sensing
SN - 0924-2716
IS - 5
ER -