Historical Map Registration via Independent Model Adjustment with Affine Transformations

نویسندگان

  • Luigi Barazzetti
  • Raffaella Brumana
  • Daniela Oreni
  • Mattia Previtali
چکیده

This paper presents a methodology for historical map registration with a multi-image affine transformation estimated with a simultaneous Least Squares independent model adjustment. The method is based on two set of equations for (i) image-to-ground and (ii) image-to-image points and provides the rectification parameters with a global approach where all the unknowns are simultaneously estimated. It avoids error accumulation of traditional progressive registration approaches implemented in commercial and opensource software packages. Different case studies along with pro and cons are illustrated and discussed.

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تاریخ انتشار 2014