The effective use and control of maritime routes in the commercial/military area is an increasing and important need for states. There are some motivations for this purpose: Safe traffic of the ships in narrow canals, avoiding illegal usage of anchoring areas of ships, monitoring fishing activities to avoid illegal fishing or protect fish population, detection of lost ships, boats or debris in the ocean, detection and identification of warships (intelligence, defense, offensive, etc.). This paper proposed an open source, fast running ship detection system from optical satellite images with the deep learning algorithm. The system does not need any comprehensive hardware, even can work on an average laptop. Tensorflow Object Detection Application Programming Interface (API)is trained by optical satellite images with ships and used as object detection API.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Ship Detection from Optical Satellite Images with Deep Learning


    Beteiligte:
    Kartal, Mesut (Autor:in) / Duman, Osman (Autor:in)


    Erscheinungsdatum :

    01.06.2019


    Format / Umfang :

    2453717 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Ship detection from optical satellite images based on visual search mechanism

    Yang, Feng / Xu, Qizhi / Gao, Feng et al. | IEEE | 2015


    Ship Detection in Optical Satellite Images Based on Sparse Representation

    Zhou, Haotian / Zhuang, Yin / Chen, Liang et al. | Springer Verlag | 2017


    Automatic Ship Wake Detection from Sentinel-2 Images by Deep Learning

    Prete, Roberto Del / Renga, Alfredo / Graziano, Maria Daniela et al. | TIBKAT | 2023


    Enhancing Ship Detection on Satellite Images with Modified DeepLabV3+

    Sharma, Rohit / Dahatonde, Shubham / Acharjya, Srimanta Kumar et al. | IEEE | 2024