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Auteur Tomáš Bayer |
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Advanced methods for the estimation of an unknown projection from a map / Tomáš Bayer in Geoinformatica, vol 20 n° 2 (April - June 2016)
[article]
Titre : Advanced methods for the estimation of an unknown projection from a map Type de document : Article/Communication Auteurs : Tomáš Bayer, Auteur Année de publication : 2016 Article en page(s) : pp 241 - 284 Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Projections
[Termes IGN] constante
[Termes IGN] distribution spatiale
[Termes IGN] géoréférencement
[Termes IGN] ligne caractéristique
[Termes IGN] logiciel de calcul scientifique
[Termes IGN] système de projectionRésumé : (auteur) This article presents three new methods (M5, M6, M7) for the estimation of an unknown map projection and its parameters. Such an analysis is beneficial and interesting for historic, old, or current maps without information about the map projection; it could improve their georeference. The location similarity approach takes into account the residuals on the corresponding features; the minimum is found using the non-linear least squares. For the shape similarity approach, the minimized objective function ϕ takes into account the spatial distribution of the features, together with the shapes of the meridians, parallels and other 0D-2D elements. Due to the non-convexity and discontinuity, its global minimum is determined using the global optimization, represented by the differential evolution. The constant values of projection φ k , λ k , φ 1, λ 0, and map constants R,ΔX,ΔY, α (in relation to which the methods are invariant) are estimated. All methods are compared and the results are presented for the synthetic data as well as for 8 early maps from the Map Collection of the Charles University and the David Rumsay Map Collection. The proposed algorithms have been implemented in the new version of the detectproj software. Numéro de notice : A2016-373 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/POSITIONNEMENT Nature : Article DOI : 10.1007/s10707-015-0234-x En ligne : http://dx.doi.org/10.1007/s10707-015-0234-x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=81138
in Geoinformatica > vol 20 n° 2 (April - June 2016) . - pp 241 - 284[article]