M-Split Estimation in Laser Scanning Data Modeling
- 224 Downloads
This paper proposes a new approach to 3D modeling on the basis of laser scanner data. It presents the attempt to automatically detect two planes and an edge in one processing algorithm. The algorithm is based on the M split estimation, which is a recently developed regression method of multi functional models. Plane equations in three dimensional space are derived on the basis of the presented method. M split estimation divides the functional model of least squares adjustment in particular into two groups. Both simulated and real data from airborne laser scanning is tested to present the results. In each case the mehod gave good results which encourages for further work on the application of this method for 3D modeling.
KeywordsALS Point cloud Robust estimation Edge detection
- Argialas, D., & Campus, Z. (2000). Comparison of edge detection and hough transform techniques for the extraction of geologic features. Image Rochester NY, 34(XXX), 790–795.Google Scholar
- Wang, C., & Hsu, P. (2007). Building detection and structure line extraction from airborne lidar data. Journal of Photogrammetry and Remote Sensing, 12(4), 365–379.Google Scholar
- Yong, L. I., & Huayi, W. U. (2007). Adaptive building edge detection by combining LiDAR data and aerial images. International Archives of the Photogrammetry Remote Sensing and Spatial Information Science, 37(part B1), 197–202.Google Scholar
- Zheng, J., Mccarthy, T., Fotheringham, A. S., & Yan, L. (2008). Linear feature extraction of buildings from terrestrial LIDAR data with morphological techniques. International Archives of the Photogrammetry Remote Sensing and Spatial Information Science, 37(part B1), 241–244.Google Scholar