LiDAR数据中建筑物提取的新方法—Fc-S法Fc-S method for extracting buildings from LIDAR data
任自珍,岑敏仪,张同刚,周国清
摘要(Abstract)：
激光雷达技术(LiDAR)已广泛应用于数字高程模型(DEM)的快速获取和三维城市模型的建立中,但仍有许多不足之处,需要做更深入的研究。本文介绍了一种新的建筑物提取方法,称之为Fc-S法。该方法首先利用等高线特征进行滤波,从LIDAR数据内插的数字表面模型(DSM)中提取出DEM,利用DSM与DEM的高差阈值和DSM边缘特征参数去掉地面点和汽车等矮小物体,获得主要包含植被和建筑物的地物点群,然后对地物点群进行分割,利用二次梯度和面积等参数去掉植被点,并采用迭代逼近的方法精化建筑物。文章通过实验对所提方法进行验证,并借助高分辨率的航空影像对建筑物提取结果进行评估,评估结果表明该方法能够在地形起伏的区域中较准确地提取出建筑物。
关键词(KeyWords)： 激光雷达;建筑物提取;滤波;分割;数字高程模型
基金项目(Foundation):
作者(Author): 任自珍,岑敏仪,张同刚,周国清
DOI: 10.16251/j.cnki.1009-2307.2010.06.055
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