Show/Hide Menu
Hide/Show Apps
Logout
Türkçe
Türkçe
Search
Search
Login
Login
OpenMETU
OpenMETU
About
About
Open Science Policy
Open Science Policy
Open Access Guideline
Open Access Guideline
Postgraduate Thesis Guideline
Postgraduate Thesis Guideline
Communities & Collections
Communities & Collections
Help
Help
Frequently Asked Questions
Frequently Asked Questions
Guides
Guides
Thesis submission
Thesis submission
MS without thesis term project submission
MS without thesis term project submission
Publication submission with DOI
Publication submission with DOI
Publication submission
Publication submission
Supporting Information
Supporting Information
General Information
General Information
Copyright, Embargo and License
Copyright, Embargo and License
Contact us
Contact us
Matching and reconstruction of line features from ultra-high resolution stereo aerial imagery
Download
index.pdf
Date
2011
Author
Ok, Ali Özgün
Metadata
Show full item record
Item Usage Stats
208
views
100
downloads
Cite This
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 approach which involves a total of seven relational constraints. The final line to line correspondences between the stereo images are established in a precise matching stage in which the final line matches are assigned by means of three novel measures and a final similarity voting scheme. Once the line matches are established, the stereo reconstruction of those matches is performed by an innovative reconstruction approach that manipulates the redundancy inherent in line pair-relations. By this way, the reconstruction of the stereo matches that are observed in a nearly-parallel geometry with the epipolar lines can also be performed accurately. The proposed approach is tested over two different urban test sites with various built-up characteristics, and as a result, very successful and promising stereo line matching and reconstruction performances are reached. 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 the potential of proposed approach.
Subject Keywords
Photogrammetry.
URI
http://etd.lib.metu.edu.tr/upload/12613849/index.pdf
https://hdl.handle.net/11511/20904
Collections
Graduate School of Natural and Applied Sciences, Thesis
Suggestions
OpenMETU
Core
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...
Marching distance functions for smooth control of hyperbolic grids
Durmus, G; Kavsaoglu, MS (2000-10-01)
The smooth control of hyperbolic grids is achieved by using marching distance functions. The marching distance can be expressed as a function of grid control. The derivative expressions of the linearized hyperbolic equations are approximated by second order central differences.
Ghost Removal in High Dynamic Range Images
Khan, Erum Arif; Akyüz, Ahmet Oğuz; Reinhard, Erik (2006-10-11)
High dynamic range images may be created by capturing multiple images of a scene with varying exposures. Images created in this manner are prone to ghosting artifacts, which appear if there is movement in the scene at the time of capture. This paper describes a novel approach to removing ghosting artifacts from high dynamic range images, without the need for explicit object detection and motion estimation. Weights are computed iteratively and then applied to pixels to determine their contribution to the fin...
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...
Surface Reconstruction from Multiple Images Filtering Non Lambert Regions
BÜYÜATALAY, Soner; BİRGÜL, ÖZLEM; Halıcı, Uğur (2009-09-10)
In this study a new algorithm for 3D surface reconstruction from multiple images using a modified photometric stereo method is proposed and tested. The new algorithm, Filtered Lambert Photometric Stereo (FLPS), determines the non-Lambert pixels in the available images using a linearity test and constructs filtering masks for each image that corresponds to specular and self or cast shadow regions. Then, the photometric stereo is applied after eliminating the points in these masks. Tests carried out on synthe...
Citation Formats
IEEE
ACM
APA
CHICAGO
MLA
BibTeX
A. Ö. Ok, “Matching and reconstruction of line features from ultra-high resolution stereo aerial imagery,” Ph.D. - Doctoral Program, Middle East Technical University, 2011.
