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。
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.
出处
《海洋测绘》
2005年第1期58-60,共3页
Hydrographic Surveying and Charting
关键词
像片判读
建筑物提取
区域分割
超线
二叉树
photo interpretation
building extraction
region segmenting
hyperline
binary tree
