본 실시예들은 해상 환경 개선 모델을 기반으로 해상 데이터의 품질을 개선하고, 품질을 개선한 해상 데이터로부터 표적 탐지 인지 모델을 기반으로 함정 유무를 탐지하고 함정의 배수량에 따른 함정 등급을 인지할 수 있는 원거리 자동 표적 인지 방법 및 장치를 제공한다.

    The present embodiments provide a long-range automatic target recognition method and apparatus that improve the quality of maritime data based on a maritime environment improvement model, and detect the presence of a vessel based on a target detection recognition model from the quality-improved maritime data, and can recognize the ship class according to the displacement of the ship.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    METHOD AND APPARATUS FOR AUTOMATIC TARGET RECOGNITION IN FAR DISTANCE BASED OM DEEP LEARNING


    Weitere Titelangaben:

    딥러닝 기반의 원거리 자동 표적 인지 장치 및 방법


    Erscheinungsdatum :

    13.07.2023


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Koreanisch


    Klassifikation :

    IPC:    B63G OFFENSIVE OR DEFENSIVE ARRANGEMENTS ON VESSELS , Angriffs- oder Verteidigungsanordnungen auf Schiffen / G06T Bilddatenverarbeitung oder Bilddatenerzeugung allgemein , IMAGE DATA PROCESSING OR GENERATION, IN GENERAL



    METHOD AND APPARATUS FOR AUTOMATIC TARGET RECOGNITION IN FAR DISTANCE BASED OM DEEP LEARNING

    PARK SEOK JOON | Europäisches Patentamt | 2023

    Freier Zugriff

    Target distance detection method based on deep learning

    ZHANG ZHONG / ZHANG XING / ZHANG JINFEI | Europäisches Patentamt | 2021

    Freier Zugriff


    DEEP LEARNING BASED BUTTON RECOGNITION APPARATUS AND METHOD

    PARK SANG HO | Europäisches Patentamt | 2023

    Freier Zugriff