• DocumentCode
    1669652
  • Title

    The use of Hough transform to mixed pixel classification

  • Author

    Bosdogianni, P. ; Petrou, M. ; Kittler, J.

  • Author_Institution
    Dept. of Electron. & Electr. Eng., Surrey Univ., Guildford, UK
  • fYear
    1996
  • fDate
    2/13/1996 12:00:00 AM
  • Firstpage
    42370
  • Lastpage
    42375
  • Abstract
    Burned forest regions have to be monitored for several years after the fire so that the regeneration processes can be evaluated. The authors assess the danger of desertification conditions ensuing in the site of a burned forest in the Mediterranean region. If the forest does not show signs of recovery a couple of years after the fire, it probably has to be artificially re-forested to prevent further erosion. Quite often, different types of vegetation grow in a burned region. Usually this new vegetation presents a deterioration of the quality of the flora of the region, e.g. if bushes develop instead of trees. The main type of forests that are common in the Mediterranean region consist of Aleppo pine (Pinus Halepensis). The authors assess the degree of presence of three classes in a region: Aleppo pine, bare soil and other vegetation, using Landsat TM images. The authors show how the Hough transform can be used to identify the composition of a given region. The method is first assessed using simulated data and then it is tested using real data that have been obtained in the laboratory
  • Keywords
    Hough transforms; forestry; remote sensing; soil; Aleppo pine; Hough transform; Landsat TM images; Mediterranean region; Pinus Halepensis; bare soil; burned forest regions; desertification; erosion; flora; forest regeneration; mixed pixel classification; vegetation;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Image Processing for Remote Sensing, IEE Colloquium on
  • Conference_Location
    London
  • Type

    conf

  • DOI
    10.1049/ic:19960155
  • Filename
    499969