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
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;
Conference_Titel :
Multimedia Technology (ICMT), 2010 International Conference on
Conference_Location :
Ningbo
Print_ISBN :
978-1-4244-7871-2
DOI :
10.1109/ICMULT.2010.5631371