A new straight line reconstruction methodology from multi-spectral stereo aerial images

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Ok, A.O.; Wegner, J.D.; Heipke, C.; Rottensteiner, F.; Soergel, U. et al.: A new straight line reconstruction methodology from multi-spectral stereo aerial images. In: Paparoditis, N.; Pierrot-Deseilligny, M.; Mallet, C.; Tournaire, O. (Eds.): ISPRS Technical Commission III Symposium. PCV 2010 - Photogrammetric Computer Vision and Image Analysis. London : International Society for Photogrammetry and Remote Sensing, 2010 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 38 Part 3A), S. 25-30. https://www.isprs.org/proceedings/XXXVIII/part3/a/pdf/25_XXXVIII-part3A.pdf

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/1411

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Sum total of downloads: 269




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Abstract: 
In this study, a new methodology for the reconstruction of line features from multispectral stereo aerial images is presented. We take full advantage of the existing multispectral information in aerial images all over the steps of pre-processing and edge detection. To accurately describe the straight line segments, a principal component analysis technique is adapted. The line to line correspondences between the stereo images are established using a new pair-wise stereo matching approach. The approach involves new constraints, and the redundancy inherent in pair relations gives us a possibility to reduce the number of false matches in a probabilistic manner. The methodology is tested over three different urban test sites and provided good results for line matching and reconstruction.
License of this version: CC BY 3.0 Unported
Document Type: BookPart
Publishing status: publishedVersion
Issue Date: 2010
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 143 53.16%
2 image of flag of United States United States 40 14.87%
3 image of flag of China China 37 13.75%
4 image of flag of Taiwan Taiwan 10 3.72%
5 image of flag of Turkey Turkey 5 1.86%
6 image of flag of Italy Italy 4 1.49%
7 image of flag of France France 4 1.49%
8 image of flag of No geo information available No geo information available 3 1.12%
9 image of flag of Japan Japan 3 1.12%
10 image of flag of Australia Australia 3 1.12%
    other countries 17 6.32%

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