Object-Based Classification of Airborne Light Detection and Ranging Point Clouds in Human Settlements
Authors: Shen, Jing; Liu, Jiping; Lin, Xiangguo; Zhao, Rong
Source: Sensor Letters, Volume 10, Numbers 1-2, January/February 2012 , pp. 221-229(9)
Publisher: American Scientific Publishers
Abstract:Airborne LiDAR point clouds classification is meaningful for various applications. In this paper, an object-based analysis method is proposed to classify the point clouds in human settlements. In the process of classification, surface growing algorithm is employed to segment the point clouds into different clusters first. The above segmentation is helpful to derive useful features such as area/size, position, orientation, proportion of multiple echoes, height jump between adjacent segments, topological relationship of neighboring segments etc. At last, rule-based classification is performed on the segmented point clouds. Two datasets are used to test the above method. The results suggest that our method will produce the overall classification accuracy larger than 93% and the Kappa coefficient larger than 0.89, which indicates the promising applications.
Document Type: Research Article
Publication date: 2012-01-01
- The growing interest and activity in the field of sensor technologies requires a forum for rapid dissemination of important results: Sensor Letters is that forum. Sensor Letters offers scientists, engineers and medical experts timely, peer-reviewed research on sensor science and technology of the highest quality. Sensor Letters publish original rapid communications, full papers and timely state-of-the-art reviews encompassing the fundamental and applied research on sensor science and technology in all fields of science, engineering, and medicine. Highest priority will be given to short communications reporting important new scientific and technological findings.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Terms & Conditions
- ingentaconnect is not responsible for the content or availability of external websites