The ISPRS benchmark on urban object classification and 3d building reconstruction

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Rottensteiner, Franz; Sohn, Gunho; Jung, Jaewook; Gerke, Markus; Baillard, Caroline et al.: The ISPRS benchmark on urban object classification and 3d building reconstruction. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-3 (2012), Nr. 1, S. 293-298. DOI: https://doi.org/10.5194/isprsannals-i-3-293-2012

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/5042

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Sum total of downloads: 532




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Abstract: 
For more than two decades, many efforts have been made to develop methods for extracting urban objects from data acquired by airborne sensors. In order to make the results of such algorithms more comparable, benchmarking data sets are of paramount importance. Such a data set, consisting of airborne image and laserscanner data, has been made available to the scientific community. Researchers were encouraged to submit results of urban object detection and 3D building reconstruction, which were evaluated based on reference data. This paper presents the outcomes of the evaluation for building detection, tree detection, and 3D building reconstruction. The results achieved by different methods are compared and analysed to identify promising strategies for automatic urban object extraction from current airborne sensor data, but also common problems of state-of-the-art methods.
License of this version: CC BY 3.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2012
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

distribution of downloads over the selected time period:

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pos. country downloads
total perc.
1 image of flag of China China 85 15.98%
2 image of flag of Germany Germany 68 12.78%
3 image of flag of United States United States 61 11.47%
4 image of flag of France France 28 5.26%
5 image of flag of Hong Kong Hong Kong 22 4.14%
6 image of flag of Iran, Islamic Republic of Iran, Islamic Republic of 21 3.95%
7 image of flag of India India 21 3.95%
8 image of flag of United Kingdom United Kingdom 21 3.95%
9 image of flag of Canada Canada 18 3.38%
10 image of flag of Turkey Turkey 17 3.20%
    other countries 170 31.95%

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