Using K-means algorithms for LiDAR point cloud classification

Authors

  • Thi Huu Phuong Nguyen*, Truong Xuan Nguyen*
  • Van Duc Dang

Keywords:

Classification, K-means, LiDAR, LiDAR point cloud

Abstract

Nowadays, LiDAR is a technology applied widely for many fields and sectors. LiDAR data processing is not an easy issue, while LiDAR data processing software is usually closed and quite expensive. This paper deals with the classification of LiDAR data using K-means, an important step in LiDAR data processing, to divide the points to its classes so that they can be applied to different problems. 

 

Classification number

1.2

Author Biographies

Thi Huu Phuong Nguyen*, Truong Xuan Nguyen

Hanoi University of Mining and Geology

Van Duc Dang

Institute of Information Technology, Vietnam Academy of Science and Technology 

Downloads

Published

2017-05-25

Received: 7 March 2017; accepted: 17 April 2017

How to Cite

Nguyen Thi Huu Phuong*, Nguyen Truong Xuan, & Dang Van Duc. (2017). Using K-means algorithms for LiDAR point cloud classification. Version B of Vietnam Journal of Science and Technology, 59(5). Retrieved from https://b.vjst.vn/index.php/ban_b/article/view/494

Issue

Vol. 59 No. 5 (2017): Volume 59 - Number 5 - May 2017

Section

Natural Sciences