Abstract
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 open-source software packages. Different case studies along with pro and cons are illustrated and discussed.
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Barazzetti, L., Brumana, R., Oreni, D., Previtali, M. (2014). Historical Map Registration via Independent Model Adjustment with Affine Transformations. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2014. ICCSA 2014. Lecture Notes in Computer Science, vol 8582. Springer, Cham. https://doi.org/10.1007/978-3-319-09147-1_4
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DOI: https://doi.org/10.1007/978-3-319-09147-1_4
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