• DocumentCode
    2870001
  • Title

    Fusing 3D information for crop/weeds classification

  • Author

    Sáchez, A.J. ; Marchant, J.A.

  • Author_Institution
    Univ. Politecnica de Valencia, Spain
  • Volume
    4
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    295
  • Abstract
    The main goal of this work is to construct a 3D-world map to help to distinguish between crop and weeds and finally to permit the location of crop and weeds to apply a variable treatment. To solve the problem of recovering a 3D-local map, we use a motion technique with the possibility of changing zoom. Every independent local map will be fused into the world map. The crop/weeds classification will eventually be performed using the height of the plants among other features like position, texture, shape, etc
  • Keywords
    active vision; agriculture; image classification; sensor fusion; 3D information fusion; 3D-local map; 3D-world map construction; active vision; crops classification; motion technique; weeds classification; Cameras; Crops; Feature extraction; Focusing; Gaussian processes; Image reconstruction; Remotely operated vehicles; Robot vision systems; Shape; Spraying;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2000. Proceedings. 15th International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-0750-6
  • Type

    conf

  • DOI
    10.1109/ICPR.2000.902917
  • Filename
    902917