dc.identifier.uri | http://dx.doi.org/10.15488/700 | |
dc.identifier.uri | http://www.repo.uni-hannover.de/handle/123456789/724 | |
dc.contributor.author | Chai, Dengfeng | |
dc.contributor.author | Schmidt, Alena | |
dc.contributor.author | Heipke, Christian | |
dc.contributor.editor | L. Halounova, L. | |
dc.contributor.editor | Schindler, K. | |
dc.contributor.editor | Limpouch, A. | |
dc.contributor.editor | Pajdla, T. | |
dc.contributor.editor | Šafář, V. | |
dc.contributor.editor | Mayer, H. | |
dc.contributor.editor | Oude Elberink, S. | |
dc.contributor.editor | Mallet, C. | |
dc.contributor.editor | Rottensteiner, F. | |
dc.contributor.editor | Brédif, M. | |
dc.contributor.editor | Skaloud, J. | |
dc.contributor.editor | Stilla, U. | |
dc.date.accessioned | 2016-11-21T08:37:57Z | |
dc.date.available | 2016-11-21T08:37:57Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Chai, D.; Schmidt, A.; Heipke, C.: Detecting linear features by spatial point processes. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives 41 (2016), S. 841-848. DOI: http://dx.doi.org/10.5194/isprsarchives-XLI-B3-841-2016 | |
dc.description.abstract | This paper proposes a novel approach for linear feature detection. The contribution is twofold: a novel model for spatial point processes and a new method for linear feature detection. It describes a linear feature as a string of points, represents all features in an image as a configuration of a spatial point process, and formulates feature detection as finding the optimal configuration of a spatial point process. Further, a prior term is proposed to favor straight linear configurations, and a data term is constructed to superpose the points on linear features. The proposed approach extracts straight linear features in a global framework. The paper reports ongoing work. As demonstrated in preliminary experiments, globally optimal linear features can be detected. | eng |
dc.description.sponsorship | National Natural Science Foundation of China/41071263 | |
dc.description.sponsorship | National Natural Science Foundation of China/41571335 | |
dc.description.sponsorship | Zhejiang Provincial Natural Science Foundation of China/LY13D010003 | |
dc.description.sponsorship | Key Laboratory for National Geographic Census and Monitoring National Administration of Surveying, Mapping and Geoinformation/2014NGCM | |
dc.language.iso | eng | |
dc.publisher | Göttingen : Copernicus GmbH | |
dc.relation.ispartof | XXIII ISPRS Congress, Commission III | |
dc.relation.ispartofseries | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences ; XLI-B3 | |
dc.rights | CC BY 3.0 Unported | |
dc.rights.uri | http://creativecommons.org/licenses/by/3.0/ | |
dc.subject | Feature Detection | eng |
dc.subject | Global Optimization | eng |
dc.subject | Linear Feature | eng |
dc.subject | Markov Chain Monte Carlo | eng |
dc.subject | Simulated Annealing | eng |
dc.subject | Spatial Point Processes | eng |
dc.subject | Global optimization | eng |
dc.subject | Markov processes | eng |
dc.subject | Remote sensing | eng |
dc.subject | Simulated annealing | eng |
dc.subject | Data terms | eng |
dc.subject | Feature detection | eng |
dc.subject | Linear configuration | eng |
dc.subject | Linear feature | eng |
dc.subject | Markov Chain Monte-Carlo | eng |
dc.subject | Spatial point process | eng |
dc.subject | Feature extraction | eng |
dc.subject.classification | Konferenzschrift | ger |
dc.subject.ddc | 500 | Naturwissenschaften | ger |
dc.subject.ddc | 520 | Astronomie, Kartographie | ger |
dc.title | Detecting linear features by spatial point processes | eng |
dc.type | Article | |
dc.type | Text | |
dc.relation.essn | 2194-9034 | |
dc.relation.issn | 1682-1750 | |
dc.relation.doi | http://dx.doi.org/10.5194/isprsarchives-XLI-B3-841-2016 | |
dc.relation.doi | https://doi.org/10.5194/isprsarchives-xli-b3-841-2016 | |
dc.bibliographicCitation.volume | XLI-B3 | |
dc.bibliographicCitation.firstPage | 841 | |
dc.bibliographicCitation.lastPage | 848 | |
dc.description.version | publishedVersion | |
tib.accessRights | frei zug�nglich |
Die folgenden Lizenzbestimmungen sind mit dieser Ressource verbunden: