Curvilinear Network Extraction from Remotely Sensed Images
نویسندگان
چکیده
still of wide interest, not only in the analysis of remotely sensed images. We describe a new approach to the extraction of networks of narrow curvilinear features such as road and river networks from remotely sensed MINIMUM COST PATHS images. The approach begins with the identification of points in the image with a high probability of being on the network. In the second stage the broad topology of the feature is extracted using a minimum spanning tree and in the final stage a novel cost minimisation approach is used t o refine the linear sections of the network so that they follow the underlying structure more closely.
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