Matching and evaluating free-form linear features for georeferencing space-borne SAR imagery

Vassilaki, D

dc.contributor.author	Vassilaki, D	en
dc.date.accessioned	2014-03-01T11:47:01Z
dc.date.available	2014-03-01T11:47:01Z
dc.date.issued	2012	en
dc.identifier.issn	14328364	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/38074
dc.subject	Georeferencing	en
dc.subject	Linear features	en
dc.subject	Multitemporal	en
dc.subject	Optical images	en
dc.subject	TerraSAR-X	en
dc.title	Matching and evaluating free-form linear features for georeferencing space-borne SAR imagery	en
heal.type	other	en
heal.identifier.primary	10.1127/1432-8364/2012/0127	en
heal.identifier.secondary	http://dx.doi.org/10.1127/1432-8364/2012/0127	en
heal.publicationDate	2012	en
heal.abstract	In this paper, 3D free-form linear features are used as ground control information for the computation of the transformation from 3D object space to the 2D SAR image space. This is now feasible thanks to the high resolution imaging capabilities of contemporary satellite SAR sensors which allow the identification of detailed structures. The computation of the transformation parameters is based on a newly introduced general iterative closest point (ICP) based method for single free-form linear feature pair matching, extended to simultaneously match multiple pairs of them. The proposed method is tested with the georeferencing of a whole TerraSAR-X image. Linear features are shown to be a reliable form of ground control information. © 2012 E. Schweizerbart'sche Verlagsbuchhandlung, Stuttgart, Germany.	en
heal.journalName	Photogrammetrie, Fernerkundung, Geoinformation	en
dc.identifier.doi	10.1127/1432-8364/2012/0127	en
dc.identifier.volume	2012	en
dc.identifier.issue	4	en
dc.identifier.spage	409	en
dc.identifier.epage	420	en