期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2008
卷号：XXXVII Part B3b
页码：237-240
出版社：Copernicus Publications
摘要：Over the past years, several filters have been developed to extract bare-Earth points from airborne laser scanner data. we conducted a test to determine the performance of three different filters and applying wavelets for the degradation of blunders in LIDAR data, and to identify directions for future research. Five selected samples have been processed by three participants. In this paper, the test results are presented. The paper describes the characteristics of the used filter approaches. The filter performance is analysed qualitatively. The performance of all filters depends on the complexity of landscapes in which they used. In general, wavelet de- noising is found to perform well and it is hardly recommended to use wavelets for de-noising the LIDAR data. Future research should be directed towards the usage of wavelets in the filtering algorithms
关键词：LIDAR; Point Cloud; Classification; DTM; Landscape; Segmentation
