Details
| Original language | English |
|---|---|
| Title of host publication | Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings |
| Pages | 61-72 |
| Number of pages | 12 |
| Publication status | Published - 2011 |
| Event | ISPRS Conference on Photogrammetric Image Analysis, PIA 2011 - Munich, Germany Duration: 5 Oct 2011 → 7 Oct 2011 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 6952 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (electronic) | 1611-3349 |
Abstract
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.
Keywords
- Aerial Images, In-strip Line Matching, Pair-wise Matching, Reconstruction, Three-View Matching
ASJC Scopus subject areas
- Mathematics(all)
- Theoretical Computer Science
- Computer Science(all)
- General Computer Science
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Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings. 2011. p. 61-72 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6952 LNCS).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - In-strip matching and reconstruction of line segments from UHR aerial image triplets
AU - Ok, Ali Özgün
AU - Wegner, Jan Dirk
AU - Heipke, Christian
AU - Rottensteiner, Franz
AU - Soergel, Uwe
AU - Toprak, Vedat
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
KW - Aerial Images
KW - In-strip Line Matching
KW - Pair-wise Matching
KW - Reconstruction
KW - Three-View Matching
UR - http://www.scopus.com/inward/record.url?scp=80054047141&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-24393-6_6
DO - 10.1007/978-3-642-24393-6_6
M3 - Conference contribution
AN - SCOPUS:80054047141
SN - 9783642243929
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 61
EP - 72
BT - Photogrammetric Image Analysis, ISPRS Conference, PIA 2011, Proceedings
T2 - ISPRS Conference on Photogrammetric Image Analysis, PIA 2011
Y2 - 5 October 2011 through 7 October 2011
ER -