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A thinning-based method for recognizing and extracting peri-urban road networks from SPOT panchromatic images

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dc.contributor.author Karathanassi, V en
dc.contributor.author Iossifidis, C en
dc.contributor.author Rokos, D en
dc.date.accessioned 2014-03-01T01:48:50Z
dc.date.available 2014-03-01T01:48:50Z
dc.date.issued 1999 en
dc.identifier.issn 0143-1161 en
dc.identifier.uri http://hdl.handle.net/123456789/25607
dc.subject.classification Remote Sensing en
dc.subject.classification Imaging Science & Photographic Technology en
dc.subject.other ALGORITHM en
dc.title A thinning-based method for recognizing and extracting peri-urban road networks from SPOT panchromatic images en
heal.type journalArticle en
heal.language English en
heal.publicationDate 1999 en
heal.abstract In this paper we describe a method for recognizing and extracting the road network in peri-urban areas using SPOT panchromatic images. A particular combination of image representation-description algorithms is proposed, which recognizes road features-not clearly defined in remotely sensed images and often confused with other features-and extracts them. The method consists of five algorithms-thresholding, morphological, thinning, linking, and gap filling-that are used sequentially. The only human intervention required is the definition of a threshold. The proposed approach produces a raster road network representation that is highly complete and locationally accurate. Some experimental results are given in this paper. en
heal.publisher TAYLOR & FRANCIS LTD en
heal.journalName INTERNATIONAL JOURNAL OF REMOTE SENSING en
dc.identifier.isi ISI:000078535400012 en
dc.identifier.volume 20 en
dc.identifier.issue 1 en
dc.identifier.spage 153 en
dc.identifier.epage 168 en


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