| 摘要: |
| 提出一个从多波段遥感图像中提取道路网的算法.首先,从多波段图像中提取直线段和平行线段,再进行融合处理,以克服图像中道路表示的不精确性.然后根据线段的局部特性,识别与道路约束模型符合程度好的路段.最后根据道路网的全局连接约束,识别与道路约束模型符合程度较弱的路段.该方法应用于三波段的卫星遥感图像,处理结果表明该方法是有效的. |
| 关键词: 多波段图像 遥感 识别 道路网 融合 线段 |
| DOI： |
| 分类号: |
| 基金项目:国防科工委卫星应用技术重点资助项目(Y96-12) |
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| An Algorithm for Extracting Road Network from Multi-Band Remote Sensing Images |
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CAI Tao,WANG Run sheng
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| Abstract: |
| An algorithm for extracting road network by fusion of multi-band remote sensing images is presented in this paper. Firstly, straight lines and parallel lines are extracted from multi-band images and fused in order to overcome the uncertainty of the description of roads in the images. Secondly, the roads that fit well with the constraints of the model of road are recognized according to the local property of lines. Eventually, the roads that can not be fit well with the constraints of the model of road are recognized by suing the global connection constraints of road network. The algorithm is applied on 3-band remote sensing images, and the effectiveness is shown by the results. |
| Key words: multi band image remote sensing recognition road network fusion lines |
