file.pdf (3.23 MB)
0/0

Automatic Three-Dimensional Point Cloud Processing for Forest Inventory

Download (3.23 MB)
journal contribution
posted on 01.01.2006 by Jean-Francis Lalonde, Nicolas Vandapel, Martial Hebert
In this paper, we propose an approach that enables automatic, fast and accurate tree trunks segmentation from three-dimensional (3-D) laser data. Results have been demonstrated in real-time on-board a ground mobile robot. In addition, we propose an approach to estimate tree diameter at breast height (dbh) that was tested off-line on a variety of ground laser scanner data. Results are also presented for detection of tree trunks in aerial laser data. The underlying techniques using in all cases rely on 3-D geometry analysis of point clouds and geometric primitives fitting.

History

Publisher Statement

All Rights Reserved

Date

01/01/2006

Exports

Keyword(s)

Exports