• DocumentCode
    1208008
  • Title

    Hierarchical clustering of multispectral images using combined spectral and spatial criteria

  • Author

    Marçal, André R S ; Castro, Luísa

  • Author_Institution
    Fac. of Sci., Univ. of Porto, Portugal
  • Volume
    2
  • Issue
    1
  • fYear
    2005
  • Firstpage
    59
  • Lastpage
    63
  • Abstract
    An agglomerative hierarchical clustering method, which uses both spectral and spatial information for the aggregation decision, is proposed here. The method is suitable for large multispectral images, provided that an unsupervised classification is previously applied. The method is tested on a synthetic image and on a satellite image of the coastal zone.
  • Keywords
    geophysical signal processing; image classification; oceanographic regions; oceanographic techniques; remote sensing; agglomerative hierarchical clustering method; coastal zone; multispectral images; satellite image; spatial boundary index; spectral similarity index; synthetic image; unsupervised classification; Clustering methods; Earth; Image analysis; Image classification; Image processing; Multispectral imaging; Pixel; Satellites; Sea measurements; Testing;
  • fLanguage
    English
  • Journal_Title
    Geoscience and Remote Sensing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1545-598X
  • Type

    jour

  • DOI
    10.1109/LGRS.2004.839646
  • Filename
    1381349
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1208008