余洁, 余峰, 张晶, 刘振宇. 结合区域生长与道路基元的高分辨率遥感影像道路提取[J]. 武汉大学学报 ( 信息科学版), 2013, 38(7): 761-764.
引用本文: 余洁, 余峰, 张晶, 刘振宇. 结合区域生长与道路基元的高分辨率遥感影像道路提取[J]. 武汉大学学报 ( 信息科学版), 2013, 38(7): 761-764.
YU Jie, YU Feng, ZHANG Jing, LIU Zhenyu. High Resolution Remote Sensing Image Road Extraction Combining Region Growing and Road-unit[J]. Geomatics and Information Science of Wuhan University, 2013, 38(7): 761-764.
Citation: YU Jie, YU Feng, ZHANG Jing, LIU Zhenyu. High Resolution Remote Sensing Image Road Extraction Combining Region Growing and Road-unit[J]. Geomatics and Information Science of Wuhan University, 2013, 38(7): 761-764.

结合区域生长与道路基元的高分辨率遥感影像道路提取

High Resolution Remote Sensing Image Road Extraction Combining Region Growing and Road-unit

  • 摘要: 针对基于像素道路提取方法存在的道路特征利用不够充分的问题,提出了一种采用道路基元的面向对象的道路提取方法。首先根据道路特征定义道路基元,然后在利用区域生长分割出道路的基础上进行道路基元的搜寻与构建、跟踪与连接,初步得到道路与中心线网络,再通过后续处理得到最终的道路与中心线网络。利用GeoEye卫星影像进行了实验,结果表明,本文方法能较有效地提取高分辨率遥感影像上的道路。

     

    Abstract: Road characteristics are not fully used in road extraction methods based on pixels.In this paper,an object-oriented road extraction method based on road-unit is proposed.First,a road-unit is defined according to the road characteristics.Then,searching,construction,tracking and connection of road-unit were completed with region growing support.The preliminary road network was extracted and a method to repair the road information was designed to obtain the final road network.GeoEye satellite image experimental results validated that the proposed method is practical and effective.

     

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