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Matching of straight line segments from aerial stereo images of urban areas
Date
2012-11-01
Author
Ok, Ali Ozgun
Wegner, Jan Dirk
Heipke, Christian
Rottensteiner, Franz
Soergel, Uwe
Toprak, Vedat
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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Reliable extraction of corresponding straight lines in overlapping images can be used for different purposes such as 3D object extraction, image registration, automated triangulation, etc. In this study, a new approach for the matching of straight line features from stereo aerial images is presented. Initial correspondences between stereo images are generated using a pair-wise stereo matching approach, which involves a total of seven relational constraints. The final straight line correspondences between the stereo images are established in a line-to-line matching stage. The optimal settings for the parameters guiding the matching phase are determined after analysing the probability density functions (PDFs). The proposed approach is tested on 30 image patches of two different urban areas, and as a result, very successful and promising stereo line matching performances are achieved. Besides, the comparison of the results of the proposed approach with the results of one of the state-of-the-art stereo matching approaches proves the superiority and potential of the proposed approach. (c) 2012 International Society for Photogrammetty and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.
Subject Keywords
Image matching
,
Urban areas
,
Aerial imagery
,
Stereo images
,
Line segment matching
URI
https://hdl.handle.net/11511/68234
Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
DOI
https://doi.org/10.1016/j.isprsjprs.2012.09.003
Collections
Graduate School of Natural and Applied Sciences, Article
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BibTeX
A. O. Ok, J. D. Wegner, C. Heipke, F. Rottensteiner, U. Soergel, and V. Toprak, “Matching of straight line segments from aerial stereo images of urban areas,”
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
, pp. 133–152, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68234.