Dini, LuigiLuigiDiniMarco GianinettoLuigi BarazzettiToldo, R.R.Toldo2020-09-172020-09-172015-06-01https://hdl.handle.net/20.500.13025/4544The commercial market offers several software packages for the registration of remotely sensed data through standard one-to-one image matching. Although very rapid and simple, this strategy does not take into consideration all the interconnections among the images of a multi-temporal data set. This paper presents a new scientific software, called Satellite Automatic Multi-Image Registration (SAMIR), able to extend the traditional registration approach towards multi-image global processing. Tests carried out with high-resolution optical (IKONOS) and high-resolution radar (COSMO-SkyMed) data showed that SAMIR can improve the registration phase with a more rigorous and robust workflow without initial approximations, user’s interaction or limitation in spatial/spectral data size. The validation highlighted a sub-pixel accuracy in image co-registration for the considered imaging technologies, including optical and radar imagery.Imaging technologies ; Radar ; Satellites ; Softwareconference paper10.1117/12.2192424https://www.academia.edu/download/38723624/Geometric_registration_of_remotely_sensed_data_with_SAMIR.pdf56f519c56c5e1b0ece3cd98b