Details
Original language | English |
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Title of host publication | Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences |
Subtitle of host publication | 2008 ISPRS Congress Book |
Pages | 279-288 |
Number of pages | 10 |
Volume | 7 |
Publication status | Published - Dec 2008 |
Event | International Society for Photogrammetry and Remote Sensing Congress - Beijing, China Duration: 3 Jul 2008 → 11 Jul 2008 |
Publication series
Name | Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book |
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Abstract
Geo-spatial data are acquired for different purposes and thus based on different data models. This leads to different data sets. In order to allow for an integrated use of data from different sources, methods for an integrated representation of those data are proposed. Such a representation is called Multiple Representation Data Base (MRDB) and consists of the different data sets on the one hand, and links between the individual objects in the different data sets. Such an explicit linking allows for a direct access of corresponding objects; possibly, also the differences (transitions) between the data sets are known and can be exploited. Links can be established using semantic and geometric matching techniques or known rules to derive one data set from another. There are several areas that benefit from such a multiple representation scheme. The first is the integrated analysis of different data sets, leading to a mutual exchange of information. The second is the possibility to propagate updates from one data set to the linked ones. Also, in the context of multi-scale-representation, it can help to efficiently visualize data on small display devices.
Keywords
- Generalization, Information fusion, Matching, MRDB, Multi-scale databases, Update
ASJC Scopus subject areas
- Computer Science(all)
- Computer Networks and Communications
- Computer Science(all)
- Computer Vision and Pattern Recognition
- Computer Science(all)
- Information Systems
- Earth and Planetary Sciences(all)
- General Earth and Planetary Sciences
- Engineering(all)
- General Engineering
Cite this
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Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book. Vol. 7 2008. p. 279-288 (Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Multiple representation databases
AU - Sester, Monika
PY - 2008/12
Y1 - 2008/12
N2 - Geo-spatial data are acquired for different purposes and thus based on different data models. This leads to different data sets. In order to allow for an integrated use of data from different sources, methods for an integrated representation of those data are proposed. Such a representation is called Multiple Representation Data Base (MRDB) and consists of the different data sets on the one hand, and links between the individual objects in the different data sets. Such an explicit linking allows for a direct access of corresponding objects; possibly, also the differences (transitions) between the data sets are known and can be exploited. Links can be established using semantic and geometric matching techniques or known rules to derive one data set from another. There are several areas that benefit from such a multiple representation scheme. The first is the integrated analysis of different data sets, leading to a mutual exchange of information. The second is the possibility to propagate updates from one data set to the linked ones. Also, in the context of multi-scale-representation, it can help to efficiently visualize data on small display devices.
AB - Geo-spatial data are acquired for different purposes and thus based on different data models. This leads to different data sets. In order to allow for an integrated use of data from different sources, methods for an integrated representation of those data are proposed. Such a representation is called Multiple Representation Data Base (MRDB) and consists of the different data sets on the one hand, and links between the individual objects in the different data sets. Such an explicit linking allows for a direct access of corresponding objects; possibly, also the differences (transitions) between the data sets are known and can be exploited. Links can be established using semantic and geometric matching techniques or known rules to derive one data set from another. There are several areas that benefit from such a multiple representation scheme. The first is the integrated analysis of different data sets, leading to a mutual exchange of information. The second is the possibility to propagate updates from one data set to the linked ones. Also, in the context of multi-scale-representation, it can help to efficiently visualize data on small display devices.
KW - Generalization
KW - Information fusion
KW - Matching
KW - MRDB
KW - Multi-scale databases
KW - Update
UR - http://www.scopus.com/inward/record.url?scp=79952342161&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:79952342161
SN - 0415478057
SN - 9780415478052
VL - 7
T3 - Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences: 2008 ISPRS Congress Book
SP - 279
EP - 288
BT - Advances in Photogrammetry, Remote Sensing and Spatial Information Sciences
T2 - International Society for Photogrammetry and Remote Sensing Congress
Y2 - 3 July 2008 through 11 July 2008
ER -