Automatic measurement of sewer man-holes in large scale aerial images

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Pollak, B.; Jacobsen, K.: Automatic measurement of sewer man-holes in large scale aerial images. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 33 Part B2 (2000), S. 438-442.

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3433

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Sum total of downloads: 113




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Abstract: 
The geometric changes of the surface (subsidence and horizontal displacement) caused by coal mining can be determined by photogrammetry with a sufficient accuracy. As long time stable targets sewer manholes can be used. They can be identified in large scale aerial images without additional effort for targeting. They also can be measured semi-automatic in digital images. Especially for periodically performed photogrammetric evaluations of the same area these aspects can lead to a significant cost reduction against a manual measurement. The program DPLX developed by the University of Hannover resulted in a precision and completeness of the automatic image point determination similar to those by manual measurement with analytical plotters. Digital images with the full resolution can be handled also on standard PC's. © 2000 International Society for Photogrammetry and Remote Sensing. All rights reserved.
License of this version: CC BY 3.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2000
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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downloads by country:

pos. country downloads
total perc.
1 image of flag of Germany Germany 68 60.18%
2 image of flag of United States United States 17 15.04%
3 image of flag of China China 5 4.42%
4 image of flag of Korea, Republic of Korea, Republic of 4 3.54%
5 image of flag of Czech Republic Czech Republic 4 3.54%
6 image of flag of Austria Austria 3 2.65%
7 image of flag of Russian Federation Russian Federation 2 1.77%
8 image of flag of Nepal Nepal 2 1.77%
9 image of flag of United Kingdom United Kingdom 2 1.77%
10 image of flag of Romania Romania 1 0.88%
    other countries 5 4.42%

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