In an attempt to improve manual and automated sea mine classification results, autonomous underwater vehicles (AUV) are being outfitted with short-range, very high-resolution sonar sensors. To improve pattern classification results in this regime, artifacts caused by platform motion, sonar beam pattern, and the ocean bottom clutter are first removed from the image. Several preprocessing steps for high-resolution imagery are developed and integrated to help isolate and discover the enduring features of high value targets. Classical denoising, segmentation, and feature-based equalization preprocessing techniques for target localization are adapted and demonstrated.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Sonar processing for short range, very-high resolution autonomous underwater vehicle sensors


    Contributors:
    Crosby, F. (author) / Cobb, J.T. (author)

    Published in:

    Publication date :

    2005


    Size :

    5 Seiten, 3 Quellen



    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English





    Localization of autonomous underwater vehicles by sonar image processing

    Eskinja, Z. / Fabekovic, Z. / Vukic, Z. | Tema Archive | 2007


    A passive sonar system based on an autonomous underwater vehicle

    Glegg, S.A.L. / Olivieri, M.P. / Coulson, R.K. et al. | Tema Archive | 2001


    Underwater vehicle with sonar array

    STONE WILLIAM C / HOGAN BARTHOLOMEW P | European Patent Office | 2016

    Free access

    NEW INTELLIGENT SONAR SYSTEM TECHNOLOGY FOR AUTONOMOUS UNDERWATER VEHICLES

    Pailhas, Y. / Capus, C. / Brown, N.V.K. | British Library Conference Proceedings | 2014