To improve cutting-edge deep learning techniques for more relevant defense applications, we extend our wellestablished port monitoring ATR techniques from generic ship classes to a pair of newly curated datasets: aircraft carriers and other military ships. We explore several techniques for data augmentation and splits to represent different deployment regimes, such as revisiting known military ports and new observations of never-before-seen ports and ships. We see reliable results (F1 <0.9) detecting and classifying aircraft carriers by type–and by proxy, nationality–as well as encouraging preliminary results (mAP <0.7) detecting and differentiating military ships by sub-class.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Automated detection and classification of military warships in overhead imagery


    Contributors:

    Conference:

    Automatic Target Recognition XXXII ; 2022 ; Orlando,Florida,United States


    Published in:

    Proc. SPIE ; 12096


    Publication date :

    2022-05-31





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Automated detection and classification of military warships in overhead imagery

    Reisman, Matthew D. / LeDuc, Dominic / Francisco, Adam G. | British Library Conference Proceedings | 2022


    The classification of warships

    Jane, Fred.T. | Engineering Index Backfile | 1900


    The classification of warships

    Elgar, Francis | Engineering Index Backfile | 1896


    Classification of warships and torpedo boats

    Symes, J. Foster | Engineering Index Backfile | 1898


    Scrapping warships

    Rossell, H.E. | Engineering Index Backfile | 1924