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基于数学形态学和相位编组SAR影像道路自动提取
引用本文:窦建方,陈鹰.基于数学形态学和相位编组SAR影像道路自动提取[J].测绘科学,2009,34(2).
作者姓名:窦建方  陈鹰
作者单位:同济大学测量与国土信息工程系/遥感与空间信息技术研究中心,上海,200092
摘    要:由于SAR图像中固有的斑点噪声的强烈影响,某些对于光学图像有很好效果的边缘检测算子,但是对于SAR图像来说,效果很差,本文应用一种改进的基于图像统计信息的局部线特征检测方法,首先利用图像统计信息对图像进行局部特征检测,然后利用数学形态学去除内部空隙并细化得到道路段,将道路段进行相位编组,进而自动提取出道路。

关 键 词:SAR图像  边缘检测算子  线特征  数学形态学  相位编组  细化

Automatic road extraction from SAR images based on mathematical morphology and phase group
DOU Jian-fang,CHEN Ying.Automatic road extraction from SAR images based on mathematical morphology and phase group[J].Science of Surveying and Mapping,2009,34(2).
Authors:DOU Jian-fang  CHEN Ying
Abstract:According to the impact of inherent speckle of SAR images, some edge detection operators have a good effect on optical images, but have a poor effect on SAR images. In this paper, an improved local linear feature detecting method, which is based on the statistical information of images, is applied. Firstly, it detects the local linear feature of images with the statistical information. Then, based on mathematical morphology, it removes internal gaps and obtains road sections after thining. With road section grouping, road extraction is performed automatically.
Keywords:SAR images  edge detection operators  linear feature  mathematical morphology  phase group  thinning
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