Details
| Original language | English |
|---|---|
| Journal | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
| Volume | 38 |
| Issue number | 1W17 |
| Publication status | Published - 2015 |
| Event | ISPRS Istanbul Workshop 2010 on Modeling of Optical Airborne and Spaceborne Sensors - Istanbul, Turkey Duration: 11 Oct 2010 → 13 Oct 2010 |
Abstract
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 of 98%. The overall results indicate that the proposed approach is highly robust for the line features extracted in (very) dense urban areas.
Keywords
- Line extraction, Pair-wise line matching, Post-processing, Stereo aerial images
ASJC Scopus subject areas
- Computer Science(all)
- Information Systems
- Social Sciences(all)
- Geography, Planning and Development
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In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, Vol. 38, No. 1W17, 2015.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - A stereo line matching technique for aerial images based on a pair-wise relation approach
AU - Ok, A. O.
AU - Wegner, J. D.
AU - Heipke, C.
AU - Rottensteiner, F.
AU - Soergel, U.
AU - Toprak, V.
PY - 2015
Y1 - 2015
N2 - 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 of 98%. The overall results indicate that the proposed approach is highly robust for the line features extracted in (very) dense urban areas.
AB - 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 of 98%. The overall results indicate that the proposed approach is highly robust for the line features extracted in (very) dense urban areas.
KW - Line extraction
KW - Pair-wise line matching
KW - Post-processing
KW - Stereo aerial images
UR - http://www.scopus.com/inward/record.url?scp=84923831692&partnerID=8YFLogxK
U2 - 10.15488/848
DO - 10.15488/848
M3 - Conference article
AN - SCOPUS:84923831692
VL - 38
JO - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
JF - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
SN - 1682-1750
IS - 1W17
T2 - ISPRS Istanbul Workshop 2010 on Modeling of Optical Airborne and Spaceborne Sensors
Y2 - 11 October 2010 through 13 October 2010
ER -