AUTOMATIC RECOGNITION OF RIVERS FROM LIDAR DATA BY PROFILE FACTOR
Laser infrared Detection and Ranging (LiDAR) has become one competitive remote sensing (RS) and photogrammetry technique.Extracting rivers distribution from LiDARs point cloud is one of its important research directions. But traditional methods are not completely suitable for the ranging data of LiDAR. Novel algorithm with profile factor as the kernel circle is proposed for rivers automatic recognition. Image unification, edge extraction and skeleton generation are the premier three steps. The profile factor of morphology can be expressed as shape functions for concrete judgement. Natural rivers profile is like U form, and artificial water-bodys can be zimplified as M figure. While highways section can be considered as W shape. Then corresponding profile factor functions (PFF) can be established for determination. The experimental comparisons show that the results by the proposed algorithm are close to which from high-resolution RS images by manual interpretation.
LiDAR Automatic river recognition Profile factor function Edge eztraction Skeleton generation
Y.Lin L.Yaha Q.X.Tong
Beijing Key Lab of SII&A, Institute of RS&GIS Research, Peking University, Beijing 100871, China Beijing Key Lab of SII&A, Institute of RS&GIS Research, Peking University, Beijing 100871, China Ins
国际会议
北京
英文
227-232
2008-07-03（万方平台首次上网日期，不代表论文的发表时间）