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- W2384451512 abstract "Road is an important object in remote sensing image. Automated road extraction from remote sensing images is becoming an important research focus. In this paper, after a brief overview of existing methods, we propose a new road extraction algorithm based on corner feature of remote sensing image. The architecture and strategy for the method are briefly described and the details of new road extraction based on the urban road network are presented. The line feature and corner feature of the remote sensing image are used to form the road segments, then the separated road segments are finally linked to generate a road network using geometric constraints. It is robust and efficient for road network extracting from urban areas of remote sensing image. To exploit exact corner information from remote sensing image, an improved corner detected algorithm has been developed in this paper. The analysis of the final results shows that this approach has got over the original algorithm's shortcoming." @default.
- W2384451512 created "2016-06-24" @default.
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- W2384451512 date "2006-01-01" @default.
- W2384451512 modified "2023-09-25" @default.
- W2384451512 title "An Improved Road Extraction Algorithm Based on Corner Feature of Remote Sensing Image" @default.
- W2384451512 hasPublicationYear "2006" @default.
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