• DocumentCode
    2161458
  • Title

    A New Model on Detecting Target Strength: Surface Segmentation and Integral

  • Author

    Li, Xiaomin ; Yan, Jin ; Ma, Xiaochuan ; Yang, Jun

  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Nowadays, observing target echo is becoming a very important way of detecting target. Among various kinds of characteristics about target echo to be measured, target strength can be got easily. In this paper, we introduce a model building of detecting the strength of target echo: segment the target surface into a lot of surface elements and then integral about them. With this model, we can calculate target strength on condition of various target shapes and receive distances. Theoretically, scattering sound field depends on directivity of incident sound source, target surface shape, distance between target and sound field, reflecting coefficient and so on. In this paper, in order to focus on surface segmentation and integral, the effect of directivity of sound source will be ignored, while the reflecting coefficient will be assumed to be one. We will consider these two aspects on detecting target strength in subsequent research. It is well known that target strength of rotary and column have lobes in certain direction, meanwhile, the farther between target and receiver, the fiercer target echo we can detecting because of the increase numbers of reflecting elements. As showing in the following experiments, the proposed model can perform the same with transcendental studies.
  • Keywords
    image segmentation; object detection; incident sound source; integral; receive distances; surface segmentation; target echo; target shapes; target strength detection; target surface shape; Acoustic emission; Acoustic measurements; Acoustic scattering; Acoustic signal detection; Brain modeling; Green´s function methods; Integral equations; Shape; Transfer functions; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304321
  • Filename
    5304321