Automatic Quality Assessment of Gis Data Based on Object Coherence
نویسندگان
چکیده
Spatially referenced data, stored as Geo Information System (GIS) data is needed for numerous applications like map services or administration. Thus, quality assessment of GIS data is of highest importance. Manual quality checks and updates are very time consuming, therefore support through automatic systems is required. Typically, semi-automatic systems are used to narrow down the list of objects that are getting reviewed in a manual process. Current systems introduce an additional layer of complexity, though. To select objects in a binary decision, the user is asked to define rules and to specify parameters. We present a system that provides a much more flexible selection of objects, without the need of any rules or parameters: Relations between up-to-date remote sensing data and GIS data are automatically identified and described by attributes. To determine a Coherence Model for each GIS feature the attribute space is evaluated using a multivariate Gaussian. Abnormality of GIS objects is determined by calculating the Mahalanobis distance of a GIS object’s attributes to the mean. Evaluation shows that results outperform existing systems improving precision by a factor four. Figure 1: Choropleth map showing continuous evaluation result for GIS objects: (from red (conspicuous) to green (inconspicuous))
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