Detection of collapsed buildings by classifying segmented Airborne laser scanner data

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

Volumn 38, Issue 5W12, 2011, Pages 307-312

  Elberink, Sander Oude ^a   Shoko, Moreblessings ^a,b   Fathi, Seyed Abdolmajid ^a   Rutzinger, Martin ^c  

^a UNIVERSITY OF TWENTE   (Netherlands)

^b Department of Surveying and Geomatics Midlands University   (Zimbabwe)

^c UNIVERSITY OF INNSBRUCK   (Austria)

Author keywords

Airborne laser scanner data; Maximum entropy modelling; Object based point cloud analysis; Rule based classification; Segmentation; Supervised classification

Indexed keywords

IMAGE SEGMENTATION; LASER APPLICATIONS; MAXIMUM ENTROPY METHODS; SCANNING;

ACCURACY MEASURES; AIRBORNE LASER SCANNERS; CLASSIFICATION RESULTS; COLLAPSED BUILDINGS; POINT CLOUD; RULE-BASED CLASSIFICATION; SUPERVISED CLASSIFICATION; VALIDATION METHODOLOGIES;

BUILDINGS;

EID: 84924333282     PISSN: 16821750     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. Blaschke, T., 2010. Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 65(1):2-16.
2. Elith, J. et al., 2010. A statistical explanation of MaxEnt for ecologists. Diversity and Distributions, 17(1):43-57.
3. Filin, S. and Pfeifer, N., 2006. Segmentation of airborne laser scanning data using a slope adaptive neighborhood. ISPRS Journal of Photogrammetry and Remote Sensing, 60(2):71-80.
4. Phillips, S. J., Anderson, R. P. and Schapire, R. E., 2006. Maximum entropy modeling of species geographic distributions. Ecological modelling, 190(3-4):231-259.
5. Phillips, S. J. and Dudik, M., 2008. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31(2):161-175.
6. Rabbani, T., van Den Heuvel, F. and Vosselmann, G., 2006. Segmentation of point clouds using smoothness constraint. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, 36(part 5), 248-253.
7. Rehor, M., Bähr, H.-P., Tarsha-Kurdi, F., Landes, T. and Grussenmeyer, P., 2008. Contribution of two plane detection algorithms to recognition of intact and damaged buildings in lidar data. The Photogrammetric Record, 23(124):441-456.
8. Rutzinger, M., Höfle, B., Hollaus, M. and Pfeifer, N., 2008. Object-Based Point Cloud Analysis of Full-Waveform Airborne Laser Scanning Data for Urban Vegetation Classification. Sensors, 8(8):4505-4528.
9. Schweier, C. and Markus, M., 2006. Classification of Collapsed Buildings for Fast Damage and Loss Assessment. Bulletin of Earthquake Engineering, 4(2):177-192.
10. Sithole, G. and Vosselman, G., 2005. Filtering of airborne laser scanner data based on segmented point clouds. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI (part 3/W19), 66-71.
11. Vögtle, T. and Steinle, E., 2004. Detection and recognition of changes in building geometry derived from multitemporal laserscanning data. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol 35(part B2), 428-433.
12. Vosselman, G., B. Gorte, G. Sithole and Rabbani, T., 2004. Recognising Structure in Laser Scanner Point Clouds. International Archives of Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVI (part 8/W2), 33-38.
13. Vosselman, G., Kessels, P. and Gorte, B., 2005. The utilisation of airborne laser scanning for mapping. International Journal of Applied Earth Observation and Geoinformation, 6(3-4):177-186.