In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets

Date

2011-10-07

Author

Ok, Ali Ozgun
Wegner, Jan Dirk
Heipke, Christian
Rottensteiner, Franz
Soergel, Uwe
Toprak, Vedat

Metadata

Show full item record

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

Item Usage Stats

211
views

0
downloads

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 test patches and produced highly promising line matching and reconstruction results.

Subject Keywords

Three-View Matching, In-strip Line Matching, Reconstruction, Aerial Images, Pair-wise Matching

URI

https://hdl.handle.net/11511/68314

Conference Name

International-Society-for-Photogrammetry-and-Remote-Sensing Conference on Photogrammetric Image Analysis (PIA)

Collections

Department of Geological Engineering, Conference / Seminar

Suggestions

OpenMETU
Core

An algorithm for line matching in an image by mapping into an n-dimensional vector space Sultanov, Raiymbek; Atakan, Ahmet; Ismailova, Rita (2019-01-01) This paper proposes a minimal length difference algorithm for construction of a line in an image by solving the problem of optimal contour approximation. In this algorithm, a method for finding interest points is proposed, and the object matching (classification) is done by mapping interest points onto a vector space. In cases where the lines in the representation of the images are not smooth, the algorithm converges rapidly. The results of the experiments showed that for convergence of the contour simplifi...
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...
A NEW STRAIGHT LINE RECONSTRUCTION METHODOLOGY FROM MULTI-SPECTRAL STEREO AERIAL IMAGE Ok, Ahmet; Heipke, C.; Rottensteiner, F.; Soergel, U.; Toprak, V. (2010-09-03) 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 involv...
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...
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...

Citation Formats

A. O. Ok, J. D. Wegner, C. Heipke, F. Rottensteiner, U. Soergel, and V. Toprak, “In-Strip Matching and Reconstruction of Line Segments from UHR Aerial Image Triplets,” Tech Univ Muenchen, Munich, Germany, 2011, vol. 6952, p. 61, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68314.