Detection of water surfaces in full-waveform laser scanning data

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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:

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Sum total of downloads: 165

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.
License of this version: CC BY 3.0 Unported
Document Type: article
Publishing status: publishedVersion
Issue Date: 2011
Appears in Collections:Fakultät für Bauingenieurwesen und Geodäsie

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pos. country downloads
total perc.
1 image of flag of Germany Germany 119 72.12%
2 image of flag of United States United States 10 6.06%
3 image of flag of China China 5 3.03%
4 image of flag of Japan Japan 3 1.82%
5 image of flag of Austria Austria 3 1.82%
6 image of flag of Netherlands Netherlands 2 1.21%
7 image of flag of Malaysia Malaysia 2 1.21%
8 image of flag of Latvia Latvia 2 1.21%
9 image of flag of Czech Republic Czech Republic 2 1.21%
10 image of flag of Canada Canada 2 1.21%
    other countries 15 9.09%

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