dc.contributor.author | Akça, Mehmet Devrim | en_US |
dc.date.accessioned | 2015-01-15T23:01:36Z | |
dc.date.available | 2015-01-15T23:01:36Z | |
dc.date.issued | 2010-03 | |
dc.identifier.citation | Akça, M. D. (2010). Co-registration of surfaces by 3D least squares matching. Photogrammetric Engineering and Remote Sensing, 76(3), 307-318, doi:10.14358/PERS.76.3.307 | en_US |
dc.identifier.issn | 0099-1112 | |
dc.identifier.issn | 2374-8079 | |
dc.identifier.uri | https://hdl.handle.net/11729/375 | |
dc.identifier.uri | http://dx.doi.org/10.14358/PERS.76.3.307 | |
dc.description.abstract | A method for the automatic co-registration of 3D surfaces is presented. Die method utilizes the mathematical model of Least Squares 2D image matching and extends it for solving the 3D surface matching problem The transformation parameters of the search surfaces are estimated with respect to a template surface. The solution is achieved when the sum of the squares of the 3D Spatial (Euclidean) distances between the surfaces are minimized. The parameter estimation is achieved using the Generalized Gauss-Markov model. Execution level implementation details are given. Apart from the co-registration of the point clouds generated from spacaborne airborne and terrestinal sensors and techniques. the proposed method is also useful for change detection, 3D comparison, and quality assessment tasks Experiments, terrain data examples show file capabilities of the method. | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Amer Soc Photogrammetry | en_US |
dc.relation.isversionof | 10.14358/PERS.76.3.307 | |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | Photogrammetry | en_US |
dc.subject | Models | en_US |
dc.subject | Convolution | en_US |
dc.subject | Railroads | en_US |
dc.subject | Image matching | en_US |
dc.subject | Estimation | en_US |
dc.subject | Markov processes | en_US |
dc.subject | Parameter estimation | en_US |
dc.subject | Change detection | en_US |
dc.subject | Coregistration | en_US |
dc.subject | Execution level | en_US |
dc.subject | Gauss-Markov models | en_US |
dc.subject | Least-squares matching | en_US |
dc.subject | Quality assessment | en_US |
dc.subject | Template surfaces | en_US |
dc.subject | Transformation parameters | en_US |
dc.subject | Cloud cover | en_US |
dc.subject | Estimation method | en_US |
dc.subject | Experimental study | en_US |
dc.subject | Gaussian method | en_US |
dc.subject | Numerical model | en_US |
dc.subject | Parameterization | en_US |
dc.subject | Three-dimensional modeling | en_US |
dc.title | Co-registration of surfaces by 3D least squares matching | en_US |
dc.type | article | en_US |
dc.description.version | Publisher's Version | en_US |
dc.contributor.department | Işık Üniversitesi, Fen Edebiyat Fakültesi, Enformasyon Teknolojileri Bölümü | en_US |
dc.contributor.department | Işık University, Faculty of Arts and Sciences, Department of Information Technologies | en_US |
dc.contributor.authorID | 0000-0002-1510-8677 | |
dc.identifier.volume | 76 | |
dc.identifier.issue | 3 | |
dc.identifier.startpage | 307 | |
dc.identifier.endpage | 318 | |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.contributor.institutionauthor | Akça, Mehmet Devrim | en_US |
dc.relation.index | WOS | en_US |
dc.relation.index | Scopus | en_US |
dc.relation.index | Science Citation Index Expanded (SCI-EXPANDED) | en_US |
dc.description.quality | Q4 | |
dc.description.wosid | WOS:000275355300011 | |