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 -