The automatic interpretation of side scan sonar (SSS) returns is addressed. The proposed system combines signal detection techniques, feature extraction using SSS geometry, and a neural network classification algorithm for real-time detection and classification. Preliminary results were obtained by experimenting with actual SSS data. Applying the automated system to the data, the detection subsystem was able to detect properly the targets of interest as well as other bottom objects. The feature extraction subsystem helped the neural classifier separate targets from extraneous objects. However, in many instances, more resolution was needed to describe small targets accurately so that the neural classifier could classify correctly.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Autonomous interpretation of side scan sonar returns


    Weitere Titelangaben:

    Unabhängige automatische Deutung des Sonarstrahlechos


    Beteiligte:
    Castellano, A.R. (Autor:in) / Gray, B.C. (Autor:in)


    Erscheinungsdatum :

    1990


    Format / Umfang :

    6 Seiten, 15 Quellen


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




    CHOOSING SIDE SCAN SONAR FREQUENCIES

    McGowen, D. / Morris, R. | British Library Online Contents | 2013


    Erster Kieler Side Scan Sonar-Workshop

    Pietrek, Hartmut / Deutsche Hydrographische Gesellschaft e.V. | HENRY – Bundesanstalt für Wasserbau (BAW) | 2008

    Freier Zugriff

    SIDE SCAN SONAR SEPARATED CONTROL UNIT

    LEE SEUNG HUN / JUNG SEOM KYU / JANG NAM DO | Europäisches Patentamt | 2016

    Freier Zugriff

    CARRYING DEVICE FOR SIDE-SCAN SONAR

    LIN YAN / CHEN MING / YU YANYUN et al. | Europäisches Patentamt | 2015

    Freier Zugriff

    Carrying device for side-scan sonar

    LIN YAN / CHEN MING / YU YANYUN et al. | Europäisches Patentamt | 2017

    Freier Zugriff