Seitenblicke und Querverbindungen. Umwelt und Gesundheit

Büschenfeld J, Wagner BJ. Seitenblicke und Querverbindungen. Umwelt und Gesundheit. In: Büschenfeld J, ed. Netz/Werk/Stadt. Aufbruch in ein neues Zeitalter. Bielefeld; 2000: 93-106

Der Wandel der Wissensformen: Zur Vielfalt und Rationalität der Wissenschaftsgeschichte

Carrier M. Der Wandel der Wissensformen: Zur Vielfalt und Rationalität der Wissenschaftsgeschichte. In: Büschenfeld J, Franz H, Kuhlemann F-M, eds. Wissenschaftsgeschichte heute: Festschrift für Peter Lundgreen. Bielefeld: Verl. für Regionalgeschichte; 2001: 211-231

MULTI-HIERARCHICAL QUALITY ASSESSMENT OF GEOSPATIAL DATA

In this paper we describe the analysis framework system GEOAIDA with view of an application for a versatile and efficient quality assessment of geodata. GEOAIDA allows to develop image analysis strategies for complex object class definitions being provided by different GIS databases. The image analysis strategy and GIS data model can be expressed in tree-like semantic networks. The multi-hierarchical architecture allows multiple combinations of image analysis tools for a multifaceted use. A practical application is the semiautomatic quality assessment of MGCP data by using IKONOS imagery. For the comparision of MGCP and image content, information about different object classes is extracted from the image. The landcover objects are detected by color texture classification combined with structural analyzing methods. Roads are detected by a line based extraction algorithm combined with color texture classification results. The MGCP database itself is used as prior knowledge to perform the image analysis.

Semi-automatic quality control of topographic data sets

The usefulness and acceptance of geo-information systems are mainly depends on the quality of the underlying geo-data. This paper describes a novel system for semi-automatic quality control of existing topographic geo-spatial data via automatic image analysis. The goal is to reduce the manual effort for quality control of a GIS database to a minimum. The core of the system is a semantic network in which different image analysis operators can be included. The image analysis operators are created for specific applications, i.e., the quality control of specific object classes which are most relevant. Images which can be used in the system are aerial images, high-resolution satellite imagery, and low-resolution satellite imagery. A prototype of the system has been in use for several years at public mapping organizations. From the experience gained during this time, we give a detailed report on the system performance and an evaluation of the results