Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    AN ADAPTABLE DEEP LEARNING MODEL FOR IONOSPHERIC PATTERN ANALYSIS ON SPACEBORNE INTERFEROMETRIC SAR SYSTEMS (AIAA 2018-5211)



    Conference:

    Space (Conference)



    Publication date :

    2018-01-01


    Size :

    12 pages



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English



    An Adaptable Deep Learning Model for Ionospheric Pattern Analysis on Spaceborne Interferometric SAR Systems

    Massinas, Basil A. / Doulamis, Anastasios / Doulamis, Nikolaos et al. | AIAA | 2018


    Ensemble Classifiers in Optimal Estimation for Ionospheric Disturbances Behavior on Spaceborne Interferometric SAR Systems (AIAA 2016-5353)

    Massinas, Basil A. / Doulamis, Anastasios / Doulamis, Nikolaos et al. | British Library Conference Proceedings | 2016


    Applied Optimal Estimation for Ionospheric Disturbances Behavior on Spaceborne Interferometric Synthetic Aperture Radar Systems (AIAA 2015-4543)

    Massinas, Basil A. / Doulamis, Anastasios / Doulamis, Nikolaos et al. | British Library Conference Proceedings | 2015


    AIAA-2004-5211 Formation Control of the MAXIM L2 Libration Orbit Mission

    Folta, D. / Hartman, K. | British Library Conference Proceedings | 2004


    An Echo State Network for Ionospheric Disturbances Behavior Modeling on Spaceborne Interferometric Synthetic Aperture Radar (AIAA 2013-5463)

    Massinas, B.A. / Doulamis, A. / Doulamis, N. et al. | British Library Conference Proceedings | 2013