Abstract
Abstract. As a consequence of the wide-spread application of digital geo-data in geographic information systems (GIS), quality control has become increasingly important to enhance the usefulness of the data. For economic reasons a high degree of automation is required for the quality control process. This goal can be achieved by automatic image analysis techniques. An example of how this can be achieved in the context of quality assessment of cropland and grassland GIS objects is given in this paper. The quality assessment of these objects of a topographic dataset is carried out based on multi-temporal information. The multi-temporal approach combines the channels of all available images as a multilayer image and applies a pixel-based SVM-classification. In this way multispectral as well as multi-temporal information is processed in parallel. The features used for the classification consist of spectral, textural (Haralick features) and structural (features derived from a semi-variogram) features. After the SVM-classification, the pixel-based result is mapped to the GIS-objects. Finally, a simple ruled-based approach is used in order to verify the objects of a GIS database. The approach was tested using a multi-temporal data set consisting of one 5-channel RapidEye image (GSD 5 m) and two 3-channel Disaster Monitoring Constellation (DMC) images (GSD 32 m). All images were taken within one year. The results show that by using our approach, quality control of GIS- cropland and grassland objects is possible and the human operator saves time using our approach compared to a completely manual quality assessment.
Highlights
Today, many public and private decisions rely on geospatial information
The other quality measures can be derived by comparing the geographic information systems (GIS) data to the real world as it is represented in satellite images
The human operator saves time using our system for quality assessment because an interactive check of all GIS-object accepted by the system is not necessary anymore
Summary
Many public and private decisions rely on geospatial information. Geospatial data are stored and managed in geographic information systems (GIS). The other quality measures can be derived by comparing the GIS data to the real world as it is represented in satellite images. We call this step verification or quality assessment (Gerke and Heipke, 2008). The human operator saves time using our system for quality assessment because an interactive check of all GIS-object accepted by the system is not necessary anymore.
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