HEAL DSpace

DEM matching and detection of deformation in close-range photogrammetry without control

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dc.contributor.author Karras George, E en
dc.contributor.author Petsa, Elli en
dc.date.accessioned 2014-03-01T01:09:20Z
dc.date.available 2014-03-01T01:09:20Z
dc.date.issued 1993 en
dc.identifier.issn 0099-1112 en
dc.identifier.uri https://dspace.lib.ntua.gr/xmlui/handle/123456789/10921
dc.relation.uri http://www.scopus.com/inward/record.url?eid=2-s2.0-0027667218&partnerID=40&md5=45aa2aa246ffa606490d42cb3261d34a en
dc.subject Close Range Photogrammetry en
dc.subject.classification Geography, Physical en
dc.subject.classification Geosciences, Multidisciplinary en
dc.subject.classification Remote Sensing en
dc.subject.classification Imaging Science & Photographic Technology en
dc.subject.other Differential equations en
dc.subject.other Error analysis en
dc.subject.other Data snooping en
dc.subject.other Digital elevation models en
dc.subject.other Photogrammetry en
dc.title DEM matching and detection of deformation in close-range photogrammetry without control en
heal.type journalArticle en
heal.language English en
heal.publicationDate 1993 en
heal.abstract A method for matching pairs of digital elevation models (DEMs), based on surface shape and without control points, has been evaluated in close-range photogrammetry. Results presented for 30 DEM pairs of the human body trunk and of varying relief indicate that the influence of orientation errors has been effectively removed from the transformed models. The final Rms differences in relief are close to the RMS errors of the elevations themselves. Introduction of gross error detection techniques, such as ''data-snooping, '' simultaneously allows orientation based on similar model regions and localization of deformations. The magnitude of the tatter is a adequately estimated using the weight cofactor matrix of residuals. Experiments with simulated and actual deformations illuminate the potential of this approach for close-range photogrammetry. en
heal.publisher AMER SOC PHOTOGRAMMETRY en
heal.journalName Photogrammetric Engineering and Remote Sensing en
dc.identifier.isi ISI:A1993MA68100007 en
dc.identifier.volume 59 en
dc.identifier.issue 9 en
dc.identifier.spage 1419 en
dc.identifier.epage 1425 en


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