摘要
传统方法在进行景观边界特征提取时,未对建筑物边界的高程数据进行离散化分析,导致边界特征点云密度较低。因此,提出一种新的景观边界特征提取方法,利用线段分析提取城市建筑景观边界特征,通过过滤化处理实现建筑景观边界冗余数据预处理。依据边界高程数据进行景观边界分割,采用离散化分析法进行特征点分类,根据网格数据转化完成建筑景观边界特征表达,获取建筑景观边界特征像素,实现城市建筑景观边界特征提取。结果表明:文中方法点云密度更大,说明文中方法提取效果更好。
In the traditional method of landscape boundary feature extraction,the elevation data of building boundary is not discretized,which leads to the low density of boundary feature point cloud.Therefore,a new method of landscape boundary feature extraction is proposed.The boundary features of urban architecture landscape are extracted by line segment analysis,and the redundant data of architecture landscape boundary are pre-processed by filtering.The landscape boundary is segmented according to the boundary elevation data,and the feature points are classified by the discrete analysis method.Landscape boundary segmentation is conducted based on the boundary elevation data,and the expression of the architectural landscape boundary features is completed according to the grid data transformation,in addition,the pixel of the architectural landscape boundary features is obtained to realize the extraction of the urban architectural landscape boundary features.The results show that the point cloud density of the proposed method is larger,which indicates that the extraction effect of the proposed method is better.
作者
薛巍
杨志伟
XUE Wei;YANG Zhi-wei(CCTEG Chongqing Engineering(GROUP)Co.,Ltd.,Chongqing 400010,China)
出处
《信息技术》
2022年第3期109-113,119,共6页
Information Technology
关键词
线段分析
城市建筑
边界特征
提取
line segment analysis
city building
boundary features
extract
