DTM Generation from LIDAR Data using Skewness Balancing
- 1 January 2006
- conference paper
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
- Vol. 1, 566-569
- https://doi.org/10.1109/icpr.2006.463
Abstract
Light detection and ranging (LIDAR) data for terrain and land surveying has contributed to many environmental, engineering and civil applications. However, the analysis of digital surface models (DSMs) from complex LIDAR data is still challenging. Commonly, the first task to investigate LIDAR data point clouds is to separate ground and object points as a preparatory step for further object classification. In this paper, the authors present a novel unsupervised segmentation algorithm - skewness balancing - to separate object and ground points efficiently from high resolution LIDAR point clouds by exploiting statistical moments. The results presented in this paper have shown its robustness and its potential for commercial applicationsKeywords
This publication has 8 references indexed in Scilit:
- Wavelet packets and co-occurrence matrices for texture-based image segmentationPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2006
- Automatic structure detection in a point-cloud of an urban landscapePublished by Institute of Electrical and Electronics Engineers (IEEE) ,2004
- Two‐dimensional hydraulic flood modelling using a finite‐element mesh decomposed according to vegetation and topographic features derived from airborne scanning laser altimetryHydrological Processes, 2003
- Image processing of airborne scanning laser altimetry data for improved river flood modellingISPRS Journal of Photogrammetry and Remote Sensing, 2001
- Improving bird population models using airborne remote sensingInternational Journal of Remote Sensing, 2000
- Two algorithms for extracting building models from raw laser altimetry dataISPRS Journal of Photogrammetry and Remote Sensing, 1999
- Errors and accuracy estimates of laser data acquired by various laser scanning systems for topographic applicationsISPRS Journal of Photogrammetry and Remote Sensing, 1998
- Towards automatic building extraction from high-resolution digital elevation modelsISPRS Journal of Photogrammetry and Remote Sensing, 1995