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

Date

2010-01-01

Author

Ok, Ahmet
Wegner, J.D.
Heipke, C.
Rottensteiner, F.
Soergel, U.
Toprak, V.

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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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.

Subject Keywords

Line reconstruction, Pair-wise line matching, Stereo aerial images, Straight line extraction

URI

https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=80054027584&origin=inward
https://hdl.handle.net/11511/107385

Collections

Department of Educational Sciences, Conference / Seminar