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：2007
卷号：XXXVI-3/W49A
页码：19-24
出版社：Copernicus Publications
摘要：Airborne Lidar system provides the Earth's topography as 3D point clouds. Many algorithms have been implemented to sort out the automatic classification problem as well as the Digital Terrain Model generation (D TM). This is mainly due to the various aspects of landscapes within a global survey which can include urban, forested or mountainous areas. This paper is focused on the generation of DTM over rural areas that are composed of open fields and forests. The methodology we propose is based on the joint use of optical images and Lidar data. It aims at adapting the window size of a morphological-based filtering algorithm to the presence of vegetated areas. In this context, Lidar intensity and optical images are combined to generate a Hybrid Normalized Difference Vegetation Index (HNDVI). A vegetation mask is then calculated with HNDVI and Lidar variance information. The window size continuously varies from a predefined minimum distance to an automatically processed upper boundary. We show with conclusive results the potentiality of a full combination of Lidar data and RGB optical images for improving the generation of fine DTMs on rural environments
