dc.identifier.uri |
http://dx.doi.org/10.15488/848 |
|
dc.identifier.uri |
http://www.repo.uni-hannover.de/handle/123456789/872 |
|
dc.contributor.author |
Ok, A.O.
|
|
dc.contributor.author |
Wegner, Jan Dirk
|
|
dc.contributor.author |
Heipke, Christian
|
|
dc.contributor.author |
Rottensteiner, Franz
|
|
dc.contributor.author |
Sörgel, Uwe
|
|
dc.contributor.author |
Toprak, V.
|
|
dc.date.accessioned |
2016-12-16T09:16:38Z |
|
dc.date.available |
2016-12-16T09:16:38Z |
|
dc.date.issued |
2010 |
|
dc.identifier.citation |
Ok, A.O.; Wegner, J.D.; Heipke, C.; Rottensteiner, F.; Soergel, U. et al.: A stereo line matching technique for aerial images based on a pair-wise relation approach. In: Modeling of optical airborne and space borne sensors. Hannover : International Society for Photogrammetry and Remote Sensing, 2010 (The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 38-1/W17), 7 S. https://www.isprs.org/proceedings/XXXVIII/1-W17/3_Ok.pdf |
|
dc.description.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. |
eng |
dc.language.iso |
eng |
|
dc.publisher |
Hannover : International Society for Photogrammetry and Remote Sensing |
|
dc.relation.ispartof |
Modeling of optical airborne and space borne sensors |
|
dc.relation.ispartofseries |
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; 38-1/W17 |
|
dc.rights |
CC BY 3.0 Unported |
|
dc.rights.uri |
http://creativecommons.org/licenses/by/3.0/ |
|
dc.subject |
Pair-wise line matching |
eng |
dc.subject |
Post-processing |
eng |
dc.subject |
Stereo aerial images |
eng |
dc.subject |
Image matching |
eng |
dc.subject |
Information science |
eng |
dc.subject |
Iterative methods |
eng |
dc.subject |
Urban growth |
eng |
dc.subject |
Aerial images |
eng |
dc.subject |
Dense urban areas |
eng |
dc.subject |
Line extraction |
eng |
dc.subject |
Line-matching |
eng |
dc.subject |
Post processing |
eng |
dc.subject |
Postprocessing algorithms |
eng |
dc.subject |
Relation-based |
eng |
dc.subject |
Voting schemes |
eng |
dc.subject |
Stereo image processing |
eng |
dc.subject.classification |
Konferenzschrift |
ger |
dc.subject.ddc |
500 | Naturwissenschaften
|
ger |
dc.subject.ddc |
510 | Mathematik
|
ger |
dc.title |
A stereo line matching technique for aerial images based on a pair-wise relation approach |
eng |
dc.type |
BookPart |
|
dc.type |
Text |
|
dc.relation.essn |
2194-9034 |
|
dc.relation.issn |
1682-1750 |
|
dc.bibliographicCitation.issue |
1W17 |
|
dc.bibliographicCitation.volume |
38 |
|
dc.description.version |
publishedVersion |
|
tib.accessRights |
frei zug�nglich |
|