HR: 0800h
AN: G51B-0431    [Abstracts]
TI: An Evaluation of the Uncertainty Resulting from Human Editing for Airborne Lidar Point Clouds
AU: * Shih, T
EM: tyshih@mail.nctu.edu.tw
AF: Tian-Yuan Shih, 1001 Ta-Hsueh Road, Hsinchu, 300, Taiwan
AU: Huang, C
EM: momola.cv94g@nctu.edu.tw
AF: Ching-Mei Huang, No.1, Lane 240, Kuang-Fu Nan Road, Taipei, 10694, Taiwan
AB: In the process of producing DEM from point clouds obtained with airborne lidar, automated filtering is usually applied first to separate ground points from the rest. Then, the filtered result is manually edited. The quality of the automated filtering would affect the efficiency of manual editing, but not the quality. This study investigates the difference among individual operator in terms of the amount of add/remove points, as well as quality of the result. Because the automated filtering package used in this study requires operator to select proper parameters, there are uncertainties resulting from human choices as well. It is found that in flat terrain, the differences among individuals are not as significant as in the complex terrain with high reliefs. In general, the differences among operators are less than 5% for the deviation larger than one meter. It is also found that manual editing for type 1 error makes the terrain surface higher.
DE: 1294 Instruments and techniques
SC: Geodesy [G]
MN: 2007 Fall Meeting