Network snakes for adapting GIS roads to height data of different data sources - performance analysis using als data and stereo images

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dc.identifier.uri http://dx.doi.org/10.15488/5024
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/5068
dc.contributor.author Göpfert, Jens
dc.contributor.author Rottensteiner, Franz
dc.contributor.author Heipke, Christian
dc.date.accessioned 2019-06-26T12:57:09Z
dc.date.available 2019-06-26T12:57:09Z
dc.date.issued 2012
dc.identifier.citation Göpfert, Jens; Rottensteiner, Franz; Heipke, Christian: Network snakes for adapting GIS roads to height data of different data sources - performance analysis using als data and stereo images. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-3 (2012), Nr. 1, S. 209-214. DOI: https://doi.org/10.5194/isprsannals-i-3-209-2012
dc.description.abstract In order to tackle the problem of consistently integrating 2D vector data and a DTM, we presented an approach for the adaptation of 2D GIS road objects to airborne laser scanning (ALS) data using active contours (snakes) in (Gopfert et al., 2011). In this paper the algorithm is modified for the integration of stereo images as an alternative data source for area-wide height information. For that reason, a new image energy is developed that exploits geometric and radiometric features derived from the image data. Afterwards, we compare the applicability of our method with respect to the ALS data and stereo images as input. In addition, a new approach is suggested that analyses the different energy terms of active contours after the optimisation process in order to automatically detect contour parts that did not reach a suitable position in the sensor data. This concept of an internal evaluation is able to guide the user during post processing. Experiments show that the snake approach with an image energy based on stereo images is generally able to adapt GIS road centrelines to the sensor data and thus to improve the quality of the 2D vector data. However, the comparison to the results for ALS data demonstrates that the algorithm perform slightly worse for image data in the high precision level. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof XXII ISPRS Congress, 25 August – 01 September 2012, Melbourne, Australia
dc.relation.ispartofseries ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences I-3 (2012), Nr. 1
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Laser scanning eng
dc.subject Artificial intelligence eng
dc.subject Exploit eng
dc.subject Slightly worse eng
dc.subject Computer vision eng
dc.subject Computer science eng
dc.subject Remote sensing eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Network snakes for adapting GIS roads to height data of different data sources - performance analysis using als data and stereo images
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 2194-9050
dc.relation.doi https://doi.org/10.5194/isprsannals-i-3-209-2012
dc.bibliographicCitation.issue 1
dc.bibliographicCitation.volume I-3
dc.bibliographicCitation.firstPage 209
dc.bibliographicCitation.lastPage 214
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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