Automated registration of multi-temporal, medium resolution satellite images has been addressed in several different ways but mainly as a scientific problem with a priority on accuracy of the results rather than on large-scale applicability. In this paper we present a “big data” approach to the problem in view of possible “Big Heritage Data” applications.
Refining registration of large, multi-temporal stacks of medium-resolution images: a novel, automated approach for “Big Heritage Data”
DE VECCHI, DANIELE;HARB, MOSTAPHA;DELL'ACQUA, FABIO
2014-01-01
Abstract
Automated registration of multi-temporal, medium resolution satellite images has been addressed in several different ways but mainly as a scientific problem with a priority on accuracy of the results rather than on large-scale applicability. In this paper we present a “big data” approach to the problem in view of possible “Big Heritage Data” applications.File in questo prodotto:
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