Title :
A classification method for building detection based on LiDAR point clouds
Author :
Zhou Mei ; Xia Bing ; Su Guozhong ; Tang Lingli ; Li Chanrong
Author_Institution :
Sky-To-Earth Syst. of Syst., Chinese Acad. of Sci., Beijing, China
Abstract :
Building detection using LiDAR data is a popular topic in LiDAR data processing. The object classification can play an important role in the detection. In this paper, a new algorithm based on LiDAR point clouds is developed to resolve the object classification difficulties in the case of trees close to buildings. Compared with other algorithms, the methods can work effectively due to use the combination of height texture and regular geometric element. The experiment results is also given and discussed to improve the validity of the proposed algorithm.
Keywords :
building; geophysical techniques; image classification; object detection; optical radar; remote sensing by radar; vegetation; LIght Detection And Ranging; building detection; data processing; height texture; image classification; lidar point cloud; object classification; remote sensing; trees; Classification algorithms; Classification tree analysis; Clouds; Data processing; Event detection; Image segmentation; Laser radar; Object detection; Optical pulses; Vegetation mapping;
Conference_Titel :
Urban Remote Sensing Event, 2009 Joint
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3460-2
Electronic_ISBN :
978-1-4244-3461-9
DOI :
10.1109/URS.2009.5137608
