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遥感技术与应用  2011, Vol. 26 Issue (6): 758-762    DOI: 10.11873/j.issn.1004-0323.2011.6.758
图像与数据处理     
一种形态重建的遥感影像城市道路提取方法研究
杨先武,蚩志锋,姚高伟
(信阳师范学院城市与环境科学学院,河南 信阳 464000)
A Shape Reconstruction Method Road Extract from High Resolution Remote Sensing
Yang Xianwu,Chi Zhifeng,Yao Gaowei
(Department of Urban and Environment,Xinyang Normal University,Xinyang 464000,China)
 全文: PDF(1841 KB)  
摘要:

以QuickBird多光谱影像为例,提出一种从高分辨率遥感影像中提取城市道路的方法。首先利用直方图均衡化对原始遥感影像作增强处理,突出影像的边缘信息。用Otsu自动阈值分割法对增强处理后的图像进行初步分割,提取出城市道路和房屋等建筑物。根据图像中各类要素的形态特征差别构建不同的标记图像,采用不同的结构元素构建道路模型,用该模型对阈值分割后的图像进行形态重构,分别提取出城市道路和建筑物。对形态重构生成的道路模块进行优化处理,提取出城市道路轮廓。实验结果表明,该方法能有效地从高分辨率遥感影像中提取出城市道路网。

关键词: QuickBird城市道路提取Otsu阈值分割形态重建    
Abstract:

A method for urban major road information extraction from QuickBird imagery is proposed.First,the use of histogram equalization for the enhancement of the original remote sensing image processing,outstanding image edge information.With the Otsu automatic thresholding method for image enhancement processing after the initial split,extract urban roads and houses and other buildings.According to the image difference between the morphological characteristics of various elements to build a different tag images with different structural elements to build the road model,with the model of thresholding the image after morphological reconstruction,were extracted from the city roads and buildings.Generated reconstruction of the road shape optimization module,extract the contours of urban roads.Experimental results show that the method can effectively extract images from high resolution remote sensing of urban road network.

Key words: QuickBird    Urban road extraction    Otsu thresholding    Shape reconstruction
收稿日期: 2010-12-08 出版日期: 2012-01-10
ZTFLH:  TP 75  
基金资助:

信阳师范学院青年自然基金项目(20100057)资助。

作者简介: 杨先武(1982-),男,河南信阳人,硕士,讲师,主要从事遥感图像处理与应用研究。Email:xianwu82@163.com。
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引用本文:

杨先武,蚩志锋,姚高伟. 一种形态重建的遥感影像城市道路提取方法研究[J]. 遥感技术与应用, 2011, 26(6): 758-762.

Yang Xianwu,Chi Zhifeng,Yao Gaowei . A Shape Reconstruction Method Road Extract from High Resolution Remote Sensing. Remote Sensing Technology and Application, 2011, 26(6): 758-762.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2011.6.758        http://www.rsta.ac.cn/CN/Y2011/V26/I6/758

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