| 面向对象的高分辨率卫星影像道路信息提取 |
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| 引用本文： | 唐静,吴俐民,左小清.面向对象的高分辨率卫星影像道路信息提取[J].测绘科学,2011,36(5):98-99. |
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| 作者姓名： | 唐静 吴俐民 左小清 |
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| 作者单位： | 1. 昆明理工大学国土资源学院,昆明,650093
2. 昆明市规划编制与信息中心,昆明,650011 |
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| 基金项目： | 云南省自然科学基金资助(2007D042M) |
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| 摘 要： | 本文采用面向对象方法对高分辨率卫星影像道路信息提取。首先加入建筑物矢量数据对影像分割提取出建筑物,然后采用多尺度进行分割,对分割后的对象进行最近邻采样,得到总体分类图。最后根据道路特点构建道路知识库对道路信息优化。试验表明,面向对象的道路信息提取克服了"椒盐现象",取得了较好的提取效果。
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| 关 键 词： | 道路信息 卫星影像 面向对象 信息提取 |
Object-oriented road information extraction from high resolution satellite imagery |
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| TANG Jing,WU Li-min,ZUO Xiao-qing.Object-oriented road information extraction from high resolution satellite imagery[J].Science of Surveying and Mapping,2011,36(5):98-99. |
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| Authors: | TANG Jing WU Li-min ZUO Xiao-qing |
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| Institution: | ①(①School of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China;②Kunming Planning Information Center,Kunming 650011,China) |
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| Abstract: | This paper proposed an objected-oriented method to extract road from high-resolution satellite image.Firstly,class of building was got using chessboard segmentation by setting vector image of buildings as a thematic layer.And then it received a general classification by nearest-neighbored sampling to image objects.Those objects were got through multi-scale segmentation.Lastly,road was optimized using road-knowledge base.The experiment result showed that it could obtain better effect than traditional method. |
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| Keywords: | road information satellite imagery object-oriented information extraction |
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