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  • COMPARISON AMONG DIFFERENT AUTOMATIC CO-REGISTRATION TECHNIQUES FOR SATELLITE AND AERIAL IMAGES

    Paper number

    IAC-09.B1.4.3

    Author

    Prof. giovanni laneve, University of Rome "La Sapienza", Italy

    Coauthor

    Eng Enrico Giuseppe Cadau, University of Rome "La Sapienza", Italy

    Coauthor

    Mr. GIANCARLO SANTILLI, Italy

    Coauthor

    Prof. Carlo Ulivieri, University of Rome "La Sapienza", Italy

    Year

    2009

    Abstract
    The Centro di Ricerca Progetto San Marco (CRPSM) of the University of Rome “La Sapienza” in the last few years has started to study, due to his involvement in several European research Projects like GMOSS (Global Monitoring for Stability and Security, NoE of FP6), G-MOSAIC (GMES services for Management of Operations, Situation Awareness and Intelligence for regional Crises, FP7), etc the performances and limits of different techniques for the automatic co-registration of satellite images.
    
    The importance of the “change detection” techniques in the remote sensing field is well known. To be applicable this techniques requires an accurate co-registration among the considered images (aerial or satellite).
    
    The manual co-registration of images (non-automatic Ground Control Points selection) is always possible since it guarantees very accurated results. Nevertheless this approach has the disadvantage that is too much time consuming and afterwards it becomes not very useful in all operative situations (for example after natural or anthropic disasters) where a promt and quickly reply is requested.
     
    Further the current availability of satellites data and images makes indispensable introducing methods with high-rate of automation able to pre-process and process in automatic way these data, leaving to the analysts, technicians, researchers and scientists more time for the  analysis and interpretation of these data. 
    
    This paper aims at presenting some of the techniques of automatic images co-registration adopted by CRPSM in the last few years, (Mutual Information, Template Matching, Contours Coincidence, Mathematical Morphology), highlighting the limits and the advantages of each technique. Further, some results obtained by applying such methods on optical (mid-low resolution) and on nocturnal images (DMSP/OLS) have will be illustrated.
    Abstract document

    IAC-09.B1.4.3.pdf

    Manuscript document

    (absent)