DocumentCode
3009216
Title
A Methodology for Trees´ Detection Using LiDAR Data in Urban Areas
Author
Ma, Hongchao ; Yao, Chunjing
Author_Institution
Sch. of Remote Sensing, Wuhan Univ., Wuhan, China
fYear
2010
fDate
29-31 Oct. 2010
Firstpage
1
Lastpage
4
Abstract
In this paper, we present an approach to detecting and locating trees using LiDAR point data. The motivation for this issue comes from urban planning and management, in which LiDAR data is used to obtain information of the cities. As for the echo characteristic of the LiDAR data is sensitive for the trees , we propose a three-step method for tree detection consisting of data- preprocessing, tree-points extraction and connectivity detection and merging, which make full use of the echo information for the LiDAR points to get the location of the trees in the urban areas.
Keywords
geophysical signal processing; optical radar; remote sensing by laser beam; vegetation; LiDAR data echo characteristic; LiDAR point data; connectivity detection; data preprocessing; merging; three step method; tree detection methodology; tree point extraction; urban areas; urban management; urban planning; Cities and towns; Filtering; Laser radar; Lasers; Measurement by laser beam; Remote sensing; Urban areas;
fLanguage
English
Publisher
ieee
Conference_Titel
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location
Ningbo
Print_ISBN
978-1-4244-7871-2
Type
conf
DOI
10.1109/ICMULT.2010.5631371
Filename
5631371
Link To Document