Segmentation of physiographic features from the global digital elevation model/GTOPO30

Miliaresis, G; Argialas, D

dc.contributor.author	Miliaresis, G	en
dc.contributor.author	Argialas, D	en
dc.date.accessioned	2014-03-01T01:48:20Z
dc.date.available	2014-03-01T01:48:20Z
dc.date.issued	1999	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/25454
dc.subject	Basin and Range	en
dc.subject	Digital Elevation Model	en
dc.subject	Digital Terrain Model	en
dc.subject	Feature Extraction	en
dc.subject	Great Basin	en
dc.subject	Information Content	en
dc.subject	IT Value	en
dc.subject	Region Growing	en
dc.subject	Regional Geology	en
dc.title	Segmentation of physiographic features from the global digital elevation model/GTOPO30	en
heal.type	journalArticle	en
heal.identifier.primary	10.1016/S0098-3004(99)00025-4	en
heal.identifier.secondary	http://dx.doi.org/10.1016/S0098-3004(99)00025-4	en
heal.publicationDate	1999	en
heal.abstract	A methodology is presented for the segmentation of certain physiographic features (mountains, basins and piedmont slopes) observed in the Great Basin Section that belongs to the Basin and Range Physiographic Province of southwest USA, from the GTOPO30 global digital elevation model. A region-growing segmentation algorithm using as seeds ridge and valley pixels and appropriate gradient-region growing criteria, was applied for	en
heal.journalName	Computers & Geosciences	en
dc.identifier.doi	10.1016/S0098-3004(99)00025-4	en