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基于多种子点模糊连接度的SPOT影像道路提取
引用本文:殷硕文,丁静.基于多种子点模糊连接度的SPOT影像道路提取[J].测绘学院学报,2009(3).
作者姓名:殷硕文  丁静
作者单位:信息工程大学测绘学院;72946部队;
摘    要:结合模糊连接度理论和SPOT影像上道路的表现特性提出了主干道路半自动提取的方法。首先,对原始影像进行去噪滤波处理,再人工选取能够代表道路特性的种子点,计算出各个像素点相对种子点的模糊连接度,将模糊连接度值大于一定阈值的像素点提取出来,从而得到道路线的支持区域;接着对二值道路域细化抽去得到道路中心线;实验证明,该方法可以取得较好的效果。

关 键 词:模糊连接度  最优路径  细化算法  SPOT影像  道路提取  

Road Extraction from SPOT Image Based on Multiseeded-Fuzzy Connectedness
YIN Shuo-wen,DING Jing.Road Extraction from SPOT Image Based on Multiseeded-Fuzzy Connectedness[J].Journal of Institute of Surveying and Mapping,2009(3).
Authors:YIN Shuo-wen  DING Jing
Institution:1.Institute of Surveying and Mapping;Information Engineering University;Zhengzhou 450052;China;2.72946 Troops;Zibo 255020;China
Abstract:The new method of road semi-automatic extraction was proposed,which was based on multiseeded-fuzzy connectedness combined with road feature in SPOT image.First,image could be filtered and then seeds were selected from road.And the fuzzy connectedness was calculated between each pixel and seed point of the object.After that,road middle lines were detected through thinning.Experiment indicated the method could gain better results in SPOT image.
Keywords:fuzzy connectedness  optimal path  thinning algorithm  SPOT image  road detection  
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