Paper
29 December 2008 MRDB approach for geospatial data revision
Author Affiliations +
Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728537 (2008) https://doi.org/10.1117/12.815598
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China
Abstract
Geospatial data are the backbone of spatial analysis, but only current and accurate data can provide the appropriate framework for successful use of GIS technology. The revision of geospatial data is still one of the major open challenges for the successful implementation of Geographic Information Systems (GIS). There is a great need for cost-efficient data revision and quality control methods in order to fulfill the need of most faithful image of the geographic space reality. Maintaining one database per scale without directly maintaining interrelationship between multiple scale databases leads to no update propagation and inter-database consistency is lost. A Multi-resolution/representation-database (MRDB) approach is proposed in this paper to solve this problem. MRDB is a spatial database technology that designed to store one real world phenomena at several specially designed levels of precision, accuracy and resolution. Propagating updates between these different scales datasets in MRDB with the advantage that data consistency and integrity can be significantly improved and enable an automatic incremental update process for the data sets.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaoguang Deng, Huayi Wu, and Deren Li "MRDB approach for geospatial data revision", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728537 (29 December 2008); https://doi.org/10.1117/12.815598
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Cited by 1 scholarly publication.
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KEYWORDS
Databases

Data processing

Geographic information systems

Image quality

Spatial resolution

Visualization

Algorithm development

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