• Dec 29, 2018 News!Vol.10, No.6 has been published with online version.   [Click]
  • Aug 06, 2018 News!Vol.9, No.1-Vol.9, No.4 have been indexed by EI (Inspec).   [Click]
  • Oct 26, 2018 News!Vol.10, No.5 has been published with online version.   [Click]
General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2012 Vol.4(6): 971-974 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2012.V4.618

LIDAR Image Processing with Progressive Morphological Filtering

Yilong Lu and Xinyuan Lin

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.

Index Terms—Digital surface model, digital terrain model, LIDAR, morphological filter.

The authors are with the School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 (e-mail: EYLu@ntu.edu.sg).


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.

Copyright © 2008-2019. International Journal of Computer Theory and Engineering. All rights reserved.
E-mail: ijcte@iacsitp.com