Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/7301
Title: 基于形态分割的高分辨率遥感影像道路提取
Other Titles: Road extraction from high-resolution remotely sensed image based on morphological segmentation
Authors: Zhu, CQ
Wang, YG
Ma, QH
Shi, W 
Keywords: Road network extraction
High-resolution remotely sensed image
Grey level morphology
Characteristic segmentation
Line match
Issue Date: 2004
Publisher: 測繪出版社
Source: 测绘学报, Nov. 2004, v. 33, no. 4, p. 347-351
Acta geodaetica et cartographic sinica, Nov. 2004, v. 33, no. 4, p. 347-351 How to cite?
Journal: Acta geodaetica et cartographic sinica 
Abstract: 基于灰度形态学,提出一种从高分辨率遥感图像提取道路网络的方法。首先利用灰度形态特征对遥感影像进行分割,进而得到基本的道路网络轮廓。然后在此基础上,利用线段特征匹配方法提取道路网络。提出的方法能适应于从道路和背景区别不很清楚的遥感图像中提取道路。实验结果也表明,本文方法能有效地从遥感影像中提取道路网络。
Based on grey level mathematical morphology, this paper presents a newly developed approach to extract road network from high-resolution remotely sensed image. First, the image is segmented based on grey level morphological characteristics, and basic road network can be obtained. Then final road network is extracted from the basic road network by line match method. The proposed approach in the paper can be adapted for road extraction from the remotely sensed image where road cannot be differentiated with background clearly. And the experiments also indicate that the proposed approach is efficient for extracting road network from remotely sensed image.
URI: http://hdl.handle.net/10397/7301
ISSN: 1001-1595
Rights: © 2004 中国学术期刊电子杂志出版社。本内容的使用仅限于教育、科研之目的。
© 2004 China Academic Journal Electronic Publishing House. It is to be used strictly for educational and research use.
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