• DocumentCode
    3189
  • Title

    A Gravity Gradient Differential Ratio Method for Underwater Object Detection

  • Author

    Zu Yan ; Jie Ma ; Jinwen Tian ; Hai Liu ; Jingang Yu ; Yun Zhang

  • Author_Institution
    Nat. Key Lab. of Sci. & Technol. on Multi-spectral Inf. Process. Technol., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • Volume
    11
  • Issue
    4
  • fYear
    2014
  • fDate
    Apr-14
  • Firstpage
    833
  • Lastpage
    837
  • Abstract
    The smooth operation of autonomous underwater vehicles (AUVs) relies heavily on the accurate detection of surrounding objects. Toward this end, this letter presents a novel method for underwater object detection based on the gravity gradient differential and the gravity gradient differential ratio caused by the relative motion between the AUV and the object. Unlike the existing techniques, the proposed method works in a passive manner and achieves AUV invisibility without energy emission. In addition, for the proposed method, no gravity map or gravity gradient map is required, which improves its practicality. Experimental results demonstrate that the proposed method performs better than the existing methods.
  • Keywords
    autonomous underwater vehicles; gravity; object detection; oceanographic equipment; oceanographic techniques; sensors; AUV; autonomous underwater vehicle; energy emission; gravity gradient differential ratio method; gravity gradient map; underwater object detection; Equations; Gravity; Mathematical model; Noise; Object detection; Remote sensing; Underwater vehicles; Gravity gradient differential ratio (GGDR); gravity gradient measurement; underwater object detection;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2013.2279485
  • Filename
    6595032