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《Science of Surveying and Mapping》 2011-05
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Object-oriented road information extraction from high resolution satellite imagery

TANG Jing①,WU Li-min②,ZUO Xiao-qing①(①School of Land Resource Engineering,Kunming University of Science and Technology,Kunming 650093,China;②Kunming Planning Information Center,Kunming 650011,China)  
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.
【Fund】: 云南省自然科学基金资助(2007D042M)
【CateGory Index】: TP751
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