Geometric registration of Remotely Sensed Data with SAMIR
Marco Gianinetto ; Luigi Barazzetti ; Luigi Dini ; et al.
Jun - 2015
DOI: 10.1117/12.2192424

Event Title : Third International Conference on Remote Sensing and Geoinformation of the Environment
Published in: Proc. SPIE 9535, Third International Conference on Remote Sensing and Geoinformation of the Environment
Publisher: SPIE
type: Conference Proceedings

Abstract
The 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.

keywords : Imaging technologies ; Radar ; Satellites ; Software

Notes : This research was supported by the Italian Ministry of Education, University and Research (MIUR) and by the Italian Space Agency (ASI). https://www.researchgate.net/profile/Marco_Gianinetto/publication/279059813_Geometric_registration_of_Remotely_Sensed_Data_with_SAMIR/links/55dd8b3308aeb41644aef1a8.pdf