Building Outline Detection based on Height and Intensity information of Airborne Laser Scanning Data
Urban environment is extremely complex due to a multitude of features with different heights and structures. Traditional methods available to extract information regarding the buildings by using optical remote sensing images are highly labor-intensive and time-consuming. This paper developed a new method to detect building outlines based on height and intensity information of Airborne LiDAR data. Texture, relative height and intensity characteristics were first extracted from the LiDAR point cloud. Then, Support Vector Data Description was used to detect buildings with training knowledge. Finally, building outlines were obtained after data post process including small region removal, raster to vector conversion and so on. Experiments show the method proposed in this study is reliable and could be widely used in other urban areas.
Digital Surface Model Digital Elevation Model Light Detection and Ranging Support Vector Data Description Texture
Wang Chengyi Liang Fuyuan Zhengyi
Institute of Remote Sensing Applications, Chinese Academic Sciences, Beijing, China (100101) Department of Geography, Western Illinois University, 1 University Circle, Macomb, IL 61455
国际会议
桂林
英文
1-6
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）