Matching of straight line segments from aerial stereo images of urban areas

Date

2012-11-01

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

181
views

0
downloads

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. (c) 2012 International Society for Photogrammetty and Remote Sensing, Inc. (ISPRS) Published by Elsevier B.V. All rights reserved.

Subject Keywords

Image matching, Urban areas, Aerial imagery, Stereo images, Line segment matching

URI

https://hdl.handle.net/11511/68234

Journal

ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

DOI

https://doi.org/10.1016/j.isprsjprs.2012.09.003

Collections

Graduate School of Natural and Applied Sciences, Article

Suggestions

OpenMETU
Core

Alignment of uncalibrated images for multi-view classification Arık, Sercan Ömer; Vural, Elif; Frossard, Pascal (2011-12-29) Efficient solutions for the classification of multi-view images can be built on graph-based algorithms when little information is known about the scene or cameras. Such methods typically require a pairwise similarity measure between images, where a common choice is the Euclidean distance. However, the accuracy of the Euclidean distance as a similarity measure is restricted to cases where images are captured from nearby viewpoints. In settings with large transformations and viewpoint changes, alignment of im...
Automatic building extraction from high resolution satellite images for map updating: A model based approach San, D. Koc; TÜRKER, MUSTAFA (2007-10-12) An approach was developed for automatically updating the buildings of an existing vector database from high resolution satellite images using spectral image classification, Digital Elevation Models (DEM) and the model-based extraction techniques. First, the areas that contain buildings are detected using spectral image classification and the normalized Digital Surface Model (nDSM). The classified output provides the shapes and the approximate locations of the buildings. However, those buildings that have si...
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...
Automated building detection from satellite images by using shadow information as an object invariant Yüksel, Barış; Yarman Vural, Fatoş Tunay; Department of Computer Engineering (2012) Apart from classical pattern recognition techniques applied for automated building detection in satellite images, a robust building detection methodology is proposed, where self-supervision data can be automatically extracted from the image by using shadow and its direction as an invariant for building object. In this methodology; first the vegetation, water and shadow regions are detected from a given satellite image and local directional fuzzy landscapes representing the existence of building are generate...
Analysis of Image Registration with Tangent Distance Vural, Elif (2014-01-01) The computation of the geometric transformation between a reference and a target image, known as registration or alignment, corresponds to the projection of the target image onto the transformation manifold of the reference image (the set of images generated by its geometric transformations). However, it often takes a nontrivial form such that the exact computation of projections on the manifold is difficult. The tangent distance method is an effective algorithm for solving this problem by exploiting a line...

Citation Formats

A. O. Ok, J. D. Wegner, C. Heipke, F. Rottensteiner, U. Soergel, and V. Toprak, “Matching of straight line segments from aerial stereo images of urban areas,” ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, pp. 133–152, 2012, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/68234.