Comparison of clustering techniques applied to laser data

International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives

Volumn 35, Issue , 2004, Pages 38-43

  Arefi, H ^a   Hahn, M ^a   Samadzadegan, F ^b   Lindenberger, J ^c  

^a STUTTGART UNIVERSITY OF APPLIED SCIENCES   (Germany)

^b UNIVERSITY OF TEHRAN   (Iran)

^c TopScan ^*  (Germany)

Author keywords

Clustering; Feature extraction; First and last pulse data; LIDAR; Quality assessment; Unsupervised learning

Indexed keywords

AUTOMATION; CLUSTER ANALYSIS; FEATURE EXTRACTION; SCANNING; UNSUPERVISED LEARNING;

AIRBORNE LASER SCANNING; AIRBORNE LIDAR SYSTEMS; CLUSTERING; CLUSTERING TECHNIQUES; EXPERIMENTAL INVESTIGATIONS; FUZZY C MEANS CLUSTERING; LAST PULSE; QUALITY ASSESSMENT;

OPTICAL RADAR;

EID: 84957062694     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Arefi, H., Hahn, M., Lindenberger, J., 2003. LIDAR data classification with remote sensing tools. Joint ISPRS Commission IV Workshop "Challenges in Geospatial Analysis, Integration and Visualization II", Stuttgart, September 8-9.
2. Axelsson, P., 1999. Processing of laser scanner data - algorithms and applications. ISPRS Journal of Photogrammetry and Remote Sensing, 54(2-3): 138-147.
3. Bezdek, J.C., 1981. Pattern Recognition with Fuzzy Objective Function. Plenum Press.
4. Bezdek, J.C., 1987. Some non-standard clustering algorithms. In: Legendre, P. & Legendre, L. Developments in Numerical Ecology. NATO ASI Series, Vol. G14. Springer-Verlag.
5. Hung, Chih-Cheng, 1993. Competitive Learning Networks for Unsupervised Training, International Journal of Remote Sensing, Vol. 14, No. 12, pp. 2411-2415.
6. Maas, H.G., 1999. The potential of height texture measures for the segmentation of airborne laserscanner data. Proceedings of the Fourth International Airborne Remote Sensing Conference, Ottawa, Canada. pp. 154-161.
7. TopScan, 2004. Airborne LIDAR Mapping Systems. http://www.topscan.de/en/luft/messsyst.html (accessed 10 Feb. 2004)