Semiautomatic quality control of topographic reference datasets

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Becker, C.; Breitkopf, U.; Büschenfeld, T.; Busch, A.; Grünreich, D. et al.: Semiautomatic quality control of topographic reference datasets. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 38 (2010).

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1443

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Sum total of downloads: 153




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Abstract: 
The usefulness and acceptance of spatial information systems are mainly dependent on the quality of the underlying geodata. This paper describes a system for semiautomatic quality control of existing geospatial data via automatic image analysis using aerial images, high-resolution satellite imagery (IKONOS and RapidEye) and low-resolution satellite imagery (Disaster Monitoring Constellation, DMC) with mono- and multi-temporal approaches focusing on objects which cover most of the area of the topographic dataset. The goal of the developed system is to reduce the manual efforts to a minimum. We shortly review the system design and then we focus on the automatic components and their integration in a semiautomatic workflow for verification and update. A prototype of the system has been in use for several years. From the experience gained during this time we give a detailed report on the system performance in its application as well as an evaluation of the results.
License of this version: CC BY 3.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 127 83.01%
2 image of flag of United States United States 9 5.88%
3 image of flag of Russian Federation Russian Federation 2 1.31%
4 image of flag of Nepal Nepal 2 1.31%
5 image of flag of Brazil Brazil 2 1.31%
6 image of flag of Austria Austria 2 1.31%
7 image of flag of India India 1 0.65%
8 image of flag of Indonesia Indonesia 1 0.65%
9 image of flag of Croatia Croatia 1 0.65%
10 image of flag of France France 1 0.65%
    other countries 5 3.27%

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