Details
| Original language | English |
|---|---|
| Pages (from-to) | 133-152 |
| Number of pages | 20 |
| Journal | ISPRS Journal of Photogrammetry and Remote Sensing |
| Volume | 74 |
| Early online date | 27 Oct 2012 |
| Publication status | Published - Nov 2012 |
Abstract
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.
Keywords
- Aerial imagery, Image matching, Line segment matching, Stereo images, Urban areas
ASJC Scopus subject areas
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Engineering(all)
- Engineering (miscellaneous)
- Computer Science(all)
- Computer Science Applications
- Earth and Planetary Sciences(all)
- Computers in Earth Sciences
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In: ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 74, 11.2012, p. 133-152.
Research output: Contribution to journal › Article › Research › peer review
}
TY - JOUR
T1 - Matching of straight line segments from aerial stereo images of urban areas
AU - Ok, Ali Ozgun
AU - Wegner, Jan Dirk
AU - Heipke, Christian
AU - Rottensteiner, Franz
AU - Soergel, Uwe
AU - Toprak, Vedat
N1 - Funding Information: This research was supported by Middle East Technical University – OYP research foundation – No: BAP-08-11-DPT.2002K120510. The Vaihingen dataset was provided by the German Association for Photogrammetry and Remote Sensing (DGPF): http://www.ifp.uni-stuttgart.de/dgpf/DKEP-Allg.html ( Cramer, 2010 ). We also thank the anonymous reviewers for a very careful reading of the paper. Especially, the comments of the first reviewer (besides revealing a number of typos) motivated us to enforce a better nomenclature and formalisation.
PY - 2012/11
Y1 - 2012/11
N2 - 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.
AB - 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.
KW - Aerial imagery
KW - Image matching
KW - Line segment matching
KW - Stereo images
KW - Urban areas
UR - http://www.scopus.com/inward/record.url?scp=84867753560&partnerID=8YFLogxK
U2 - 10.1016/j.isprsjprs.2012.09.003
DO - 10.1016/j.isprsjprs.2012.09.003
M3 - Article
AN - SCOPUS:84867753560
VL - 74
SP - 133
EP - 152
JO - ISPRS Journal of Photogrammetry and Remote Sensing
JF - ISPRS Journal of Photogrammetry and Remote Sensing
SN - 0924-2716
ER -