The potential of full-waveform LiDAR in mobile mapping applications

• Autorzy: Toth C.K. , Zaletnyik P. , Laky S. , Grejner-Brzezińska D.
• Języki publikacji: EN

Abstrakty

EN

Full Waveform LiDAR data have been available for many years, yet applications just recently started discovering its potential in airborne topographic surveying. Forestry and earth sciences applications have been traditionally using waveform processing for many years, but topographic mapping has just started exploring the benefits of waveform. The potential advantages are improved point cloud generation, better object surface characterization, and support for object classification. However, there are several implementations and performance issues, such as the availability of waveform processing tools and waveform compression methods that should be addressed before applications can take full advantage of the availability of waveform data. The paper provides an overview of the waveform application potential in both airborne and mobile LiDAR mapping applications.

Słowa kluczowe

EN

lidar; waveform; discrete return; classification

PL

LIDAR; przebieg fali; dyskretny powrót; klasyfikacja

• Wydawca: Zarząd Główny Stowarzyszenia Geodetów Polskich
• Czasopismo: Archiwum Fotogrametrii, Kartografii i Teledetekcji
• Rocznik: 2011
• Tom: Vol. 22
• Strony: 401--410
• Opis fizyczny: Bibliogr. 12 poz.

Twórcy

autor

Toth C.K.

• The Center for Mapping, The Ohio State University 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210

autor

Zaletnyik P.

• Department of Geodesy and Surveying, Budapest University of Technology and Economics Muegyetem rkp. 3, Budapest, H-1111, Hungary

autor

Laky S.

• Department of Geodesy and Surveying, Budapest University of Technology and Economics Muegyetem rkp. 3, Budapest, H-1111, Hungary

autor

Grejner-Brzezińska D.

• The Center for Mapping, The Ohio State University 470 Hitchcock Hall, 2070 Neil Avenue, Columbus, OH 43210

Bibliografia

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• Kohonen, T., Hynninen, J., Kangas, J., Laaksonen, J. 1996. SOM_PAK, The Self-Organizing Map Program Package, Technical Report A31, Helsinki University of Technology, Laboratory of Computer and Information Science, FIN-02150 Espoo, Finland, 27 pages.
• Laky, S., Zaletnyik, P., Toth, C. 2010a. Compressing LiDAR waveform data, In: Proc. International LiDAR Mapping Forum, Denver, USA, 3-5 March 2010.
• Laky, S., Zaletnyik, P., Toth, C. 2010b: Land classification of wavelet-compressed fullwaveform LiDAR data. International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences (ISSN: 1682-1750) XXXVIII: (3A) 115-119.
• Mallet, C., Soergel, U., Bretar, F., 2008. Analysis of full-waveform lidar data for an accurate classification of urban areas. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences 37 (Part 3A), pp. 85-92.
• Mallet, C., Bretar, F., 2009. Full-waveform topographic LiDAR: State-of-the-art, ISPRS Journal of Photogrammetry and Remote Sensing, Volume 64, Issue 1, pp. 1-16.
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• Wagner, W., Ullrich, A., Ducic, V., Melzer, T. and Studnicka, N., 2006. Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner. ISPRS Journal of Photogrammetry & Remote Sensing 60(2), pp. 100–112.
• Zaletnyik, P., Laky, S., Toth, C., 2010. LiDAR waveform classification using Self-Organizing Map, ASPRS, San Diego, CA, 28-30 April 2010.