An adaptive method for the construction of digital terrain model from LiDAR data

Xiaohui Yuan, Liangmei Hu, Bill P. Buckles, Laura Steinberg, Vaibhav Sarma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

To generate a DTM, measurements from above-ground features such as buildings, vehicles, and vegetation have to be classified and removed, which is nontrivial. The aboveground features present great challenges in conjunction with varying slopes of the ground. In this paper, we present a method to remove above-ground LiDAR measurements and generate DTMs by using adaptive window size according to the local gradients. Iterative construction measurements are performed until difference between two iterations are minimum. In our experiments, we apply our method to the LiDAR data acquired from the downtown region of New Orleans. It was demonstrated that the adaptive window method can remove most of the above-ground points effectively.

Original languageEnglish (US)
Title of host publication2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
PagesII828-II830
Edition1
DOIs
StatePublished - Dec 1 2008
Externally publishedYes
Event2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States
Duration: Jul 6 2008Jul 11 2008

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Number1
Volume2

Other

Other2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
CountryUnited States
CityBoston, MA
Period7/6/087/11/08

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

Fingerprint Dive into the research topics of 'An adaptive method for the construction of digital terrain model from LiDAR data'. Together they form a unique fingerprint.

  • Cite this

    Yuan, X., Hu, L., Buckles, B. P., Steinberg, L., & Sarma, V. (2008). An adaptive method for the construction of digital terrain model from LiDAR data. In 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings (1 ed., pp. II828-II830). [4779122] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2, No. 1). https://doi.org/10.1109/IGARSS.2008.4779122