• DocumentCode
    149741
  • Title

    Automatic recognition of oyster racks in the aerial image

  • Author

    Wu-Ja Lin ; Yi-Xiang Huang

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Formosa Univ., Yunlin, Taiwan
  • fYear
    2014
  • fDate
    21-24 April 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In this manuscript, we propose a system which can automatically recognize the oyster racks in an aerial image. As the oyster racks are recognized, the volume of the oysters could thus be estimated and the price can be predicted in advance. Besides that, when a disaster such as a typhoon strikes on the offshore, the loss could also be estimated when the numbers of oyster racks before and after the disaster are available for analysis. These information are useful for the local government in governing the aquaculture affairs. The advantage of the proposed system is to provide a useful tool in analyzing aquaculture information with less man power and time.
  • Keywords
    aquaculture; object recognition; aerial image; aquaculture affairs; aquaculture information; automatic oyster racks recognition; disaster; local government; typhoon; Aquaculture; Clustering algorithms; Image color analysis; Image recognition; Local government; Sea measurements; Tropical cyclones;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP), 2014 IEEE Ninth International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4799-2842-2
  • Type

    conf

  • DOI
    10.1109/ISSNIP.2014.6827688
  • Filename
    6827688