doi: 10.7763/IJCTE.2012.V4.618
LIDAR Image Processing with Progressive Morphological Filtering
- School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798.
Abstract
High-resolution digital terrain models (DTMs) are essential for many topographic applications and LIDAR (Light Detection and Ranging) is one of the latest optical remote sensing technologies that used to generate DTM. Airborne LIDAR systems usually return a three-dimensional cloud of point measurements with irregular spacing. In order to generate a DTM, measurements from unwanted features such as trees, vehicles have to be classified and removed. In this study, a progressive morphological filtering and its parametric performance in removing unwanted LIDAR measurements are studied. Numerical experiments show that the progressive morphological filter is more effective than the traditional morphological filter.
Keywords
- Digital surface model
- digital terrain model
- LIDAR
- morphological filter
How to Cite
Yilong Lu and Xinyuan Lin, "LIDAR Image Processing with Progressive Morphological Filtering," International Journal of Computer Theory and Engineering, vol. 4, no. 6, pp. 971-974, 2012. https://doi.org/10.7763/IJCTE.2012.V4.618
Copyright & License
Copyright © 2012 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).