Semi-automatic Quality Control of Topographic Data Sets
| Autor: | Martin Pahl, Jörn Ostermann, Carola Braun, Dietmar Grünreich, Marcel Ziems, Uwe Breitkopf, Sönke Müller, Franz Rottensteiner, Petra Helmholz, Christian Becker, Andreas Busch, Christian Heipke, Torsten Büschenfeld, Karsten Vogt |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
media_common.quotation_subject
Control (management) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION computer.software_genre Object (computer science) Semantic network Image (mathematics) Gis database Geography Quality (business) Satellite imagery Semi automatic Data mining Computers in Earth Sciences computer media_common |
| Zdroj: | Photogrammetric Engineering & Remote Sensing. 78:959-972 |
| ISSN: | 0099-1112 |
| DOI: | 10.14358/pers.78.9.959 |
| Popis: | 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 semiautomatic 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|