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

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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


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