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

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

doi:10.1109/IGARSS.2008.4779122

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

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

Department of Civil & Environmental Engineering

Research output: Chapter in Book/Entry/Poem › Conference contribution

4 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 language	English (US)
Title of host publication	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Pages	II828-II830
Edition	1
DOIs	https://doi.org/10.1109/IGARSS.2008.4779122
State	Published - 2008
Event	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings - Boston, MA, United States Duration: Jul 6 2008 → Jul 11 2008

Publication series

Name	International Geoscience and Remote Sensing Symposium (IGARSS)
Number	1
Volume	2

Other

Other	2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings
Country/Territory	United States
City	Boston, MA
Period	7/6/08 → 7/11/08

ASJC Scopus subject areas

Computer Science Applications
General Earth and Planetary Sciences

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10.1109/IGARSS.2008.4779122

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). Article 4779122 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2, No. 1). https://doi.org/10.1109/IGARSS.2008.4779122

An adaptive method for the construction of digital terrain model from LiDAR data. / Yuan, Xiaohui; Hu, Liangmei; Buckles, Bill P. et al.
2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings. 1. ed. 2008. p. II828-II830 4779122 (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 2, No. 1).

Research output: Chapter in Book/Entry/Poem › Conference contribution

Yuan, X, Hu, L, Buckles, BP, 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 edn, 4779122, International Geoscience and Remote Sensing Symposium (IGARSS), no. 1, vol. 2, pp. II828-II830, 2008 IEEE International Geoscience and Remote Sensing Symposium - Proceedings, Boston, MA, United States, 7/6/08. https://doi.org/10.1109/IGARSS.2008.4779122

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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.",

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AB - 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.

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

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