Constraint energies for the adaptation of 2d river borderlines to airborne laserscanning data using snakes

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dc.identifier.uri http://dx.doi.org/10.15488/1132
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1156
dc.contributor.author Goepfert, Jens
dc.contributor.author Rottensteiner, Franz
dc.contributor.author Heipke, Christian
dc.contributor.author Alakese, Y.
dc.contributor.author Rosenhahn, Bodo
dc.date.accessioned 2017-02-07T09:43:49Z
dc.date.available 2017-02-07T09:43:49Z
dc.date.issued 2010
dc.identifier.citation Goepfert, J.; Rottensteiner, F.; Heipke, C.; Alakese, Y.; Rosenhahn, B.: Constraint energies for the adaptation of 2d river borderlines to airborne laserscanning data using snakes. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Joint International Conference On Theory, Data Handling And Modelling In Geospatial Information Science] 38 (2010), Nr. Part 2, S. 383-388
dc.description.abstract The German Authoritative Topographic Cartographic Information System (ATKIS) stores the height and the 2D position of the objects in a dual system. The digital terrain model (DTM), often acquired by airborne laser scanning (ALS), supplies the height information in a regular grid, whereas 2D vector data are provided in the digital landscape model (DLM). However, an increasing number of applications, such as flood risk modelling, require the combined processing and visualization of these two data sets. Due to different kinds of acquisition, processing, and modelling discrepancies exist between the DTM and DLM and thus a simple integration may lead to semantically incorrect 3D objects. For example, rivers may flow uphill. In this paper we propose an algorithm for the adaptation of 2D river borderlines to ALS data by means of snakes. Besides the two basic energy terms of the snake, the internal and image energy, 3D object knowledge is introduced in the constraint energy in order to guarantee the semantic correctness of the rivers in a combined data set. The image energy is based on ALS intensity and height information and derived products. Additionally, features of rivers in the DTM, such as the flow direction or the river profile, are formulated as constraints in order to fulfil the semantic properties of rivers and stabilize the adaptation process. Furthermore, the known concept of twin snakes exploits the width of the river and also supports the procedure. Some results are given to show the applicability of the algorithm. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [Joint International Conference On Theory, Data Handling And Modelling In Geospatial Information Science] 38 (2010), Nr. Part 2
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject snakes eng
dc.subject vector data eng
dc.subject river eng
dc.subject ALS eng
dc.subject intensity eng
dc.subject consistency eng
dc.subject images eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Constraint energies for the adaptation of 2d river borderlines to airborne laserscanning data using snakes eng
dc.type article
dc.type Text
dc.relation.issn 2194-9034
dc.bibliographicCitation.issue Part 2
dc.bibliographicCitation.volume 38
dc.bibliographicCitation.firstPage 383
dc.bibliographicCitation.lastPage 388
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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