Classification of airborne laser scanning data in wadden sea areas using conditional random fields

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dc.identifier.uri http://dx.doi.org/10.15488/1093
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1117
dc.contributor.author Schmidt, Alena
dc.contributor.author Rottensteiner, Franz
dc.contributor.author Sörgel, Uwe
dc.date.accessioned 2017-02-03T07:14:05Z
dc.date.available 2017-02-03T07:14:05Z
dc.date.issued 2012
dc.identifier.citation Schmidt, A.; Rottensteiner, F.; Soergel, U.: Classification of airborne laser scanning data in wadden sea areas using conditional random fields. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences [XXII ISPRS Congress, Technical Commission I] 39 (2012), Nr. B3, S. 161-166. DOI: https://doi.org/10.5194/isprsarchives-XXXIX-B3-161-2012
dc.description.abstract In this paper we investigate the influence of contextual knowledge for the classification of airborne laser scanning data in Wadden Sea areas. For this propose we use Conditional Random Fields (CRF) for the classification of the point cloud into the classes water, mudflat, and mussel bed based on geometric and intensity features. We learn typical structures in a training step and combine local descriptors with context information in a CRF framework. It is shown that the point-based classification result, especially the completeness rate for water and mussel bed as well as the correction rate of water, can be significantly improved if contextual knowledge is integrated. We evaluate our approach on a test side of the German part of the Wadden Sea and compare the results with a Maximum Likelihood Classification. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartof 22nd Congress of the International-Society-for-Photogrammetry-and-Remote-Sensing, August 25-September 01, 2012, Melbourne, Australia
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences [XXII ISPRS Congress, Technical Commission I] 39 (2012), Nr. B3
dc.rights CC BY 3.0
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject LiDAR eng
dc.subject classification eng
dc.subject conditional random fields eng
dc.subject coast eng
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Classification of airborne laser scanning data in wadden sea areas using conditional random fields
dc.type article
dc.type conferenceObject
dc.type Text
dc.relation.issn 2194-9034
dc.relation.doi https://doi.org/10.5194/isprsarchives-XXXIX-B3-161-2012
dc.bibliographicCitation.issue B3
dc.bibliographicCitation.volume 39
dc.bibliographicCitation.firstPage 161
dc.bibliographicCitation.lastPage 166
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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