INFERRING URBAN LAND USE FROM SATELLITE SENSOR IMAGES USING KERNEL-BASED SPATIAL RECLASSIFICATION

In this study, a technique is described that attempts to derive information on urban land use in two stages. The first involves classification of the image into broad land-cover types. In the second stage, referred to as spatial reclassification, the classified pixels are grouped into discrete land-use categories on the basis of both the frequency and the spatial arrangement of the land-cover labels within a square kernel. The application of this technique, known as SPARK (Spatial Reclassification Kernel), is demonstrated using a SPOT-1 HRV multispectral image of southeast London, England. Preliminary results indicate that SPARK can be used to distinguish quite subtle differences of land use in urban areas.

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  • Corporate Authors:

    American Society for Photogrammetry and Remote Sensing

    5410 Grosvenor Lane, Suite 210
    Bethesda, MD  United States  20814-2160
  • Authors:
    • Barnsley, M J
    • Barr, S L
  • Publication Date: 1996-8

Language

  • English

Media Info

Subject/Index Terms

Filing Info

  • Accession Number: 00725701
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Sep 4 1996 12:00AM