• DocumentCode
    2148420
  • Title

    Classification of sonar images using back propagation neural network

  • Author

    Sekeroglu, Boran

  • Author_Institution
    Near East Univ., Nicosia
  • Volume
    5
  • fYear
    2004
  • fDate
    20-24 Sept. 2004
  • Firstpage
    3092
  • Abstract
    Discovering our world has gained an importance. Oceans are the biggest unknowns of our world. There is a history and treasure lying at the sea floor. In every part of the world, scientific developments have been performed to get more information about them. In oceanic engineering, one of the most important things is experience. Sonar image classification system (SICS) had been developed to get a human experience and vision. Neural networks have an important part in the modeling of human decision-making processes to computers. They have been applied in many applications such as automotive, aerospace, medical robotics... etc. Because of its success in classification of images, back propagation learning algorithm has been applied to SICS
  • Keywords
    backpropagation; geophysical signal processing; image classification; image segmentation; neural nets; oceanographic techniques; oceanography; remote sensing; sonar imaging; back propagation learning algorithm; back propagation neural network; image segmentation; oceanic engineering; sonar image classification system; Back; History; Humans; Image classification; Neural networks; Oceanic engineering and marine technology; Oceans; Sea floor; Silicon carbide; Sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    0-7803-8742-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2004.1370352
  • Filename
    1370352