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

Karathanassi, V; Iossifidis, C; Rokos, D

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	https://dspace.lib.ntua.gr/xmlui/handle/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