• DocumentCode
    416463
  • Title

    Textural feature extraction of tree using co-occurrence matrix from aerial images

  • Author

    Kubo, M. ; Kanda, E. ; Muramoto, K.

  • Author_Institution
    Kanazawa Univ., Japan
  • Volume
    1
  • fYear
    2003
  • fDate
    4-6 Aug. 2003
  • Firstpage
    52
  • Abstract
    In this study, forest was measured using video camera mounted on a helicopter. It is necessary to acquire high spatial resolution image for discernment of tree species. Image features for classification of tree species were extracted by texture analysis using gray level co-occurrence matrix (GLCM). In this analysis, local homogeneity was computed from the GLCM of image. This textural feature can be used for classifying tree species.
  • Keywords
    feature extraction; forestry; image resolution; image texture; matrix algebra; vegetation mapping; aerial images; cooccurrence matrix; forest; high spatial resolution image; textural feature extraction; tree species; video camera;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    SICE 2003 Annual Conference
  • Conference_Location
    Fukui, Japan
  • Print_ISBN
    0-7803-8352-4
  • Type

    conf

  • Filename
    1323313