Extraction of streets from Google earth imagery is a hot research topic. The main purpose of this paper is to create a method to extract streets information from satellite image automatically. It is exceedingly difficult to achieve, because every road has different characters and there are a lot of noises (e.g. shadow, building, and vehicle) in the image. By using generic color model and the image analysis techniques, we build up the automatic road extraction system. It extracted road successfully from mid-size city image with a very high extraction rate. Some interesting discoveries and unique creative solution are proposed in this paper.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:hig-9399 |
| Date | January 2011 |
| Creators | Zhang, Ruibo, Chen, Manni |
| Publisher | Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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