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- W2385980164 abstract "As a framework of the city pattern,the road is one of the fastest elements in the process of city development.Therefore,to extract road information based on mathematical morphology from ETM+remote sensing image is of important and realistic significance.With an area of Hefei ETM+image as an example,this paper proposes a method based on HPF fusion and mathematical morphology.Firstly,pretreat the original image,HPF fuse multi-spectrum bands and full-color band of the original image,convert pretreatment result of RGB image into gray image,the gray image to the binary image,and then based on the linear characteristics of the road,make use of the mathematical morphology to denoise the image(independent patch and adhesion plaques),inflat and corrode,open operation,refine the image,thus get the result of road extraction.Experimental results show that this method can be used to accurately extract trunk road network from remote sensing image resolution and eliminate the influence of the road features,which are simple and practical." @default.
- W2385980164 created "2016-06-24" @default.
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- W2385980164 date "2012-01-01" @default.
- W2385980164 modified "2023-09-24" @default.
- W2385980164 title "Road Extraction from ETM+ Remote Sensing Image Based on Mathematical Morphology and the HPF Fusion" @default.
- W2385980164 hasPublicationYear "2012" @default.
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