摘要
海岸、滩涂一直是地理信息数据库极其重要又极其敏感的特殊区域,对其进行快速、准确地测量以及后期数据有效精确处理是一项重要的测量工作。对海岸带、滩涂主要地物从Lidar点云中分离方法进行了全方位地尝试并提出对植被、土壤、水体等主要地物引入光谱信息、激光反射率、回波强度,对水体还引入是否具有双重回波特性进行地物的提取。此方法既借鉴现有滤波分类方法,又在其算法某些局部的不足上寻求了另种解决问题的方法,尤其在水域边界的确定上提出了寻找土壤点(或植被点)与水体点间隙来大致确定水域边界的思路。
Coastline,tidal flat is a significant and sensitive region for perfecting China's geographical information database,rapid and accurate survey toward it and processing Lidar data effectively is the main survey work.This paper omnibearingly proposed separation methods of main planimetric feature in coastline and tidal flat area,from the Lidar points cloud data.Vegetation,soil and water-body would be extracted through integrating spectral information,laser reflection rate,return intensity,especially,the characteristic of double return signals introduced for the extraction of water-body points.These methods drew lessons from existing filtering and classifing algorithms,seek other approaches to solve problems from deficiency of existing algorithms.Typically,in water area boundary,it daringly presented determining water's border by computing interval between soil points(or vegetation points) and water-body points.
出处
《地理空间信息》
2011年第4期25-27,189,共3页
Geospatial Information
关键词
海岸
提取
分类
地物
coastline,extraction,classifing,feature
