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基于区域分割合并的建筑物半自动提取方法
引用本文:周俊,晏非,孙曼.基于区域分割合并的建筑物半自动提取方法[J].海洋测绘,2005,25(1):58-60.
作者姓名:周俊  晏非  孙曼
作者单位:西安测绘信息技术总站,陕西,西安,710054
摘    要:提出了一种遥感图像半自动提取建筑物的方法。首先通过对建筑物边缘进行折线逼近和感知编组,可以得到其顶部大体结构。然后按照“二叉树”的数据结构,利用“超线”对建筑物影像进行区域分割。最后通过对分割后的区域进行相似性的统计并按照“二叉树”记录的分割顺序进行生长合并,从而得到了屋顶的边缘,实现了对平顶直角建筑物的提取。该方法能够充分利用区域的性质进行合并,稳定精确地提取建筑物。

关 键 词:像片判读  建筑物提取  区域分割  超线  二叉树
文章编号:1671-3044(2005)01-0058-03
修稿时间:2004年9月2日

Semi-automatic Extraction of Building Based on Region Segmenting and Merging
ZHOU Jun,YAN Fei,SUN Man.Semi-automatic Extraction of Building Based on Region Segmenting and Merging[J].Hydrographic Surveying and Charting,2005,25(1):58-60.
Authors:ZHOU Jun  YAN Fei  SUN Man
Abstract:The paper presents a method for semi-automatic extractin of building . We arrange the line segments of (building's) edges to reconstruct the structure of the building roof by means of line closing and perceptual organization method first. And then, a binary space partitioning tree is adopted as an efficient data structure to aid recursive partitioning of a region with hyperline. When the image of the building is segmented into statistically homogeneous sub-regions, we can merge the regions by using pre-defined homogeneous predicates. Through the above steps, the roof of the building can be extracted accurately and steadily.
Keywords:photo interpretation  building extraction  region segmenting  hyperline  binary tree
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