Detection of water surfaces in full-waveform laser scanning data

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dc.identifier.uri http://dx.doi.org/10.15488/1110
dc.identifier.uri http://www.repo.uni-hannover.de/handle/123456789/1134
dc.contributor.author Schmidt, Alena
dc.contributor.author Rottensteiner, Franz
dc.contributor.author Sörgel, Uwe
dc.date.accessioned 2017-02-03T08:18:43Z
dc.date.available 2017-02-03T08:18:43Z
dc.date.issued 2011
dc.identifier.citation Schmidt, A.; Rottensteiner, F.; Soergel, U.: Detection of water surfaces in full-waveform laser scanning data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [ISPRS Hannover Workshop 2011: High-Resolution Earth Imaging For Geospatial Information] 38-4 (2011), Nr. W19, S. 277-282. DOI: https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-277-2011
dc.description.abstract Airborne laser scanning has become a standard method for recording topographic data. A new generation of laser scanners digitises the complete waveform of the backscattered signal and thus offers the possibility of analysing the signal shape. As a product of the laser scanning, a digital surface model (DSM) or a digital terrain model (DTM) can be derived. In water regions, data acquisition by laser scanning is limited to the water surface because the near-infrared laser pulses hardly penetrate water. Therefore, a height model generated from laser scanner point clouds over water regions does not represent the actual terrain. The generation of a DTM thus requires the detection of water surfaces. In this study, a method for the detection and classification of water surfaces in airborne laser scanning data is proposed. The method works with both geometrical features (e.g. height or height variation) and characteristics of the pulses derived from the full waveform of the returned signal (e.g. intensity or pulse width). In our strategy, based on fuzzy logic, all classification parameters are derived automatically from training areas. According to their statistical distributions, the features are considered with individual weights. The aim of this paper is to analyse crucial features for classification and to investigate the potential of full waveform laser scanning data for this application. We present results from different areas with lakes and rivers, analysing the contribution of the individual groups of features for the detection of water surfaces. eng
dc.language.iso eng
dc.publisher Göttingen : Copernicus GmbH
dc.relation.ispartofseries International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences: [ISPRS Hannover Workshop 2011: High-Resolution Earth Imaging For Geospatial Information] 38-4 (2011), Nr. W19
dc.rights CC BY 3.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/3.0/
dc.subject Airborne laser scanning eng
dc.subject full waveform eng
dc.subject classification eng
dc.subject water eng
dc.subject.classification Konferenzschrift ger
dc.subject.ddc 550 | Geowissenschaften ger
dc.title Detection of water surfaces in full-waveform laser scanning data eng
dc.type article
dc.type Text
dc.relation.issn 2194-9034
dc.relation.doi https://doi.org/10.5194/isprsarchives-XXXVIII-4-W19-277-2011
dc.bibliographicCitation.issue W19
dc.bibliographicCitation.volume 38-4
dc.bibliographicCitation.firstPage 277
dc.bibliographicCitation.lastPage 282
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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