Automated classification of airborne laser scanning point clouds

Springer Proceedings in Mathematics and Statistics

Volumn 97, Issue , 2014, Pages 269-292

  Waldhauser, Christoph ^a   Hochreiter, Ronald ^a   Otepka, Johannes ^b   Pfeifer, Norbert ^b   Ghuffar, Sajid ^b   Korzeniowska, Karolina ^c   Wagner, Gerald ^d  

^a VIENNA UNIVERSITY OF ECONOMICS AND BUSINESS   (Austria)

^b VIENNA UNIVERSITY OF TECHNOLOGY   (Austria)

^c JAGIELLONIAN UNIVERSITY   (Poland)

^d Vermessung Schmid   (Austria)

Author keywords

Decision trees; Floodplain classification; Full waveform LIDAR; Genetic algorithm

Indexed keywords

ARTIFICIAL INTELLIGENCE; FLOODS; FORESTRY; GENETIC ALGORITHMS; LEARNING SYSTEMS; MAPPING; OPTICAL RADAR;

AIRBORNE LASER SCANNING; AUTOMATED CLASSIFICATION; CLASSICAL METHODS; FLOOD PLAINS; FULL-WAVEFORMS; THREAT MITIGATION; UNSUPERVISED METHOD; VECTOR COMPONENTS;

DECISION TREES;

EID: 84969134730     PISSN: 21941009     EISSN: 21941017     Source Type: Conference Proceeding    
DOI: 10.1007/978-3-319-08985-0_12     Document Type: Conference Paper

References (28)

1. Breiman, L., Friedman, J., Olshen, R., Stone, C.: Classification and Regression Trees. Wadsworth and Brooks, Pacific Grove (1984)
2. Briese, C., Mandlburger, G., Ressl, C., Brockman, H.: Automatic break line determination for the generation of a DTM along the river Main. In: ISPRS Workshop Laserscanning 2009, pp. 236–241 (2009)
3. Doneus, M., Briese, C., Fera, M., Janner, M.: Archaeological prospection of forested areas using full-waveform airborne laser scanning. J. Archaeol. Sci. 35(4), 882–893 (2008)
4. Dorninger, P.: Eine praktikable und genaue Methode zur Bestimmung von Wasser-Land- Grenzen aus Laser-Scanner-Daten. BfG-Veranstaltungen 3, 93–100 (2011)
5. Friedl, M., Brodley, C.: Decision tree classification of land cover from remotely sensed data. Remote Sens. Environ. 61(3), 399–409 (1997)
6. Goldberg, D., Holland, J.: Genetic algorithms and machine learning. Mach. Learning 3(2), 95–99 (1988)
7. Gressin, A., Mallet, C., David, N.: Improving 3D LiDAR point cloud registration using optimal neighborhood knowledge. ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences I-3, pp. 111–116 (2012)
8. Gross, H., Thoennessen, U.: Extraction of lines from laser point clouds. In: Symposium of ISPRS Commission III: Photogrammetric Computer Vision PCV06. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 36, pp. 86–91 (2006)
9. Höfle, B., Hollaus, M., Lehner, H., Pfeifer, N., Wagner, W.: Area-based parameterization of forest structure using full-waveform airborne laser scanning data. In: Silvilaser 2008, p. 9, Edinburgh, 2008
10. Höfle, B., Hollaus, M., Hagenauer, J.: Urban vegetation detection using radiometrically calibrated small-footprint full-waveform airborne LiDAR data. ISPRS J. Photogramm. Remote Sens. 67(1), 134–147 (2012)
11. Hollaus, M., Aubrecht, C., Höfle, B., Steinnocher, K., Wagner, W.: Roughness mapping on various vertical scales based on full-waveform airborne laser scanning data. Remote Sens. 3(3), 503–523 (2011)
12. Kobler, A., Pfeifer, N., Orginc, P., Todorovski, L., Oštir, K., Džeroski, S.: Repetitive interpolation: A robust algorithm for DTM generation from aerial laser scanner data in forested terrain. Remote Sens. Environ. 108(1), 9–23 (2007)
13. Kraus, K., Pfeifer, N.: Advanced DTM generation from LiDAR data. In: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, pp. 23–30, Annapolis, 2001
14. Mallet, C., Bretar, F., Soergel, U.: Analysis of full-waveform LiDAR data for classification of urban areas. Photogramm. Fernerkundung Geoinf. 5, 337–349 (2008)
15. Mather, P., Tso, B.: ClassificationMethods for Remotely Sensed Data. CRC press, Boca Raton (2010)
16. Otepka, J., Ghuffar, S., Waldhauser, C., Hochreiter, R., Pfeifer, N.: Georeferenced point clouds: Data model, features and management. ISPRS Int. J. Geoinf. 2(4), 1038–1065 (2013)
17. Prinz, R.: DGM-W-Modellierung unter Einbeziehung erfasster Buhnen und Buhnenfelder. BfG-Veranstaltungen 3, 48–57 (2011)
18. R Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, 2013
19. Research Groups Photogrammetry and Remote Sensing: OPALS: Orientation and Processing of Airborne Laser Scanning data. Department of Geodesy and Geoinformation, TU Vienna, Vienna (2013)
20. Roncat, A., Bergauer, G., Pfeifer, N.: B-spline deconvolution for differential target crosssection determination in full-waveform laser scanning data. ISPRS J. Photogramm. Remote Sens. 66(4), 418–428 (2011)
21. Rusu, R.: Semantic 3D object maps for everyday manipulation in human living environments. Ph.D. thesis, München, Techn. Univ., Diss. (2009)
22. Rutzinger, M., Höfle, B., Pfeifer, N.: Detection of high urban vegetation with airborne laser scanning data. In: Proceedings of ForestSat (2007)
23. Safavian, S., Landgrebe, D.: A survey of decision tree classifier methodology. IEEE Trans. Syst. Man Cybern. 21(3), 660–674 (1991)
24. Sithole, G., Vosselman, G.: Experimental comparison of filter algorithms for bare-earth extraction from airborne laser scanning point clouds. ISPRS J. Photogramm. Remote Sens. 59(1–2), 85–101 (2004)
25. Therneau, T., Atkinson, B., Ripley, B.: rpart: Recursive Partitioning (2013). R package version 4.1-3
26. Wagner, W.: Radiometric calibration of small-footprint full-waveform airborne laser scanner measurements: Basic physical concepts. ISPRS J. Photogramm. Remote Sens. 65(6), 505–513 (2010). ISPRS Centenary Celebration Issue
27. Wagner, W., Ullrich, A., Ducic, V., Melzer, T., Studnicka, N.: Gaussian decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner. ISPRS J. Photogramm. Remote Sens. 60(2), 100–112 (2006)
28. Weinmann, M., Jutzi, B., Mallet, C.: Feature relevance assessment for the semantic interpretation of 3D point cloud data. In: ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences II-5/W2, pp. 313–318 (2013)