• DocumentCode
    3028463
  • Title

    Image Target Detection Using Morphological Neural Network

  • Author

    Song Cheng-tian ; Wang Ke-yong

  • Author_Institution
    State Key Labortory of Mechatronical Eng. & Control, Beijing Inst. of Technol., Beijing, China
  • Volume
    1
  • fYear
    2009
  • fDate
    11-14 Dec. 2009
  • Firstpage
    234
  • Lastpage
    236
  • Abstract
    It is known that detecting small targets in remotely sensed image is difficult and challenging work. Filter neural network is designed to detect target which based morphological, structure element is used as network parameter, by competition and cooperation, network parameter is adjusted. Morphologic changed-weight neural network algorithm is used to realize small infrared target detection under complex background. Experimental results of using the above detector to detect real infrared targets are also included. These results demonstrate that the new detector yields a promising solution for the detection problems of small targets.
  • Keywords
    mathematical morphology; neural nets; object detection; Image target detection; detecting small targets; filter neural network; morphologic changed weight; morphological neural network; new detector yields; promising solution detection problems; real infrared targets; remotely sensed image; small infrared target detection; Computational intelligence; Filtering; Image processing; Infrared detectors; Morphology; Neural networks; Object detection; Shape measurement; Target recognition; Wavelet analysis; Morphologcial; Neural Network; Target Detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2009. CIS '09. International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-5411-2
  • Type

    conf

  • DOI
    10.1109/CIS.2009.259
  • Filename
    5376623