Automatic ICP-Based Global Matching of Free-Form Linear Features

Vassilaki, DI; Ioannidis, CC; Stamos, AA

dc.contributor.author	Vassilaki, DI	en
dc.contributor.author	Ioannidis, CC	en
dc.contributor.author	Stamos, AA	en
dc.date.accessioned	2014-03-01T02:07:52Z
dc.date.available	2014-03-01T02:07:52Z
dc.date.issued	2012	en
dc.identifier.issn	0031868X	en
dc.identifier.uri	https://dspace.lib.ntua.gr/xmlui/handle/123456789/29620
dc.subject	Accuracy	en
dc.subject	Free-form linear features	en
dc.subject	Georeferencing	en
dc.subject	Iterative closest point	en
dc.subject	Matching	en
dc.subject	Multisensor and multitemporal	en
dc.title	Automatic ICP-Based Global Matching of Free-Form Linear Features	en
heal.type	journalArticle	en
heal.identifier.primary	10.1111/j.1477-9730.2012.00692.x	en
heal.identifier.secondary	http://dx.doi.org/10.1111/j.1477-9730.2012.00692.x	en
heal.publicationDate	2012	en
heal.abstract	The geometric exploitation of linear features has been investigated in various remote sensing and geospatial problems. This paper introduces a novel and general method based on the iterative closest point (ICP) algorithm for the global matching of heterogeneous free-form linear features of the same (2D-2D, 3D-3D), or different, (2D-3D) dimensionality. No constraints are imposed on either the transformation, the projection type or the geometric nature of the features. The method assumes no prior knowledge of the relative position of the features, or of point correspondences, and is tested with various simulated and real-world heterogeneous data. © 2012 The Authors. The Photogrammetric Record © 2012 The Remote Sensing and Photogrammetry Society and Blackwell Publishing Ltd.	en
heal.journalName	Photogrammetric Record	en
dc.identifier.doi	10.1111/j.1477-9730.2012.00692.x	en
dc.identifier.volume	27	en
dc.identifier.issue	139	en
dc.identifier.spage	311	en
dc.identifier.epage	329	en