A NEW STRAIGHT LINE RECONSTRUCTION METHODOLOGY FROM MULTI-SPECTRAL STEREO AERIAL IMAGE

Date

2010-09-03

Author

Ok, Ahmet
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

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

URI

https://hdl.handle.net/11511/53131

Conference Name

ISPRS-Technical-Commission III Symposium on Photogrammetric Computer Vision and Image Analysis (PCV)

Collections

Department of Educational Sciences, Conference / Seminar

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A STEREO LINE MATCHING TECHNIQUE FOR AERIAL IMAGES BASED ON A PAIR-WISE RELATION APPROACH Ok, Ahmet; Heipke, C.; Rottensteiner, F.; Soergel, U.; Toprak, V. (2010-10-13) In this study, we developed a new pair-wise relation based approach for the matching of line features from stereo aerial images. To solve the final matching inconsistencies, we propose an iterative pair based post-processing algorithm in which the matching inconsistencies are eliminated using three novel measures and a final similarity voting scheme. The approach is tested over four urban test sites with various built-up characteristics, and for all test sites, we achieved a stereo line matching performance...
Accurate Reconstruction of Near-Epipolar Line Segments from Stereo Aerial Images Ok, Ali Ozgun; Wegner, Jan Dirk; Heipke, Christian; Rottensteiner, Franz; Soergel, Uwe; Toprak, Vedat (2012-01-01) In this study, a new 3D reconstruction approach for line segments from stereo images is proposed which covers the case that the image lines are nearly-aligned (<= 10 degrees) with the epipolar line. The method manipulates the redundancy inherent in line pair-relations to generate artificial 3D points and utilizes those entities during the estimation process to improve the reconstruction of the line segments. The best points for the reconstruction are selected based on a newly proposed weight function. To te...
Matching and reconstruction of line features from ultra-high resolution stereo aerial imagery Ok, Ali Özgün; Toprak, Vedat; Soergel, Uwe; Department of Geodetic and Geographical Information Technologies (2011) In this study, a new approach for the matching and reconstruction of line features from multispectral stereo aerial images is presented. The advantages of the existing multispectral information in aerial images are fully taken into account 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 initial correspondences between the stereo images are generated using a new pair-wise stereo matching appro...
In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets Ok, Ali Ozgun; Wegner, Jan Dirk; Heipke, Christian; Rottensteiner, Franz; Soergel, Uwe; Toprak, Vedat (2011-10-07) In this study, we propose a new line matching and reconstruction methodology for aerial image triplets that are acquired within a single strip. The newly developed stereo reconstruction approach gives us better line predictions in the third image which in turn helps to improve the performance of the matching. The redundancy information generated in each stereo match gives us ability to reduce the number of false matches while preserving high levels of matching completeness. The approach is tested over four ...
ACCURATE MATCHING AND RECONSTRUCTION OF LINE FEATURES FROM ULTRA HIGH RESOLUTION STEREO AERIAL IMAGES Ok, Ahmet; Heipke, C.; Rottensteiner, F.; Soergel, U.; Toprak, V. (2011-06-17) In this study, a new reconstruction approach is proposed for the line segments that are nearly-aligned(<= 10 degrees) with the epipolar line. The method manipulates the redundancy inherent in line pair-relations to generate artificial 3D point entities and utilize those entities during the estimation process to improve the height values of the reconstructed line segments. The best point entities for the reconstruction are selected based on a newly proposed weight function. To test the performance of the pro...

Citation Formats

A. Ok, C. Heipke, F. Rottensteiner, U. Soergel, and V. Toprak, “A NEW STRAIGHT LINE RECONSTRUCTION METHODOLOGY FROM MULTI-SPECTRAL STEREO AERIAL IMAGE,” Saint Mande, France, 2010, vol. 38, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/53131.