• DocumentCode
    2746705
  • Title

    A multi-data sources method for the validation of old image classification in order to measure the scattered urbanisation process

  • Author

    Maille, E.

  • fYear
    2003
  • fDate
    22-23 May 2003
  • Firstpage
    152
  • Lastpage
    156
  • Abstract
    This article proposed a mapping and validation method of old low resolution satellite images, based on the use of existing GI covers at different scales for different periods. This method can be described as a multi data sources method for the validation of old image classification in order to measure the scattered urbanisation process as it uses three kinds of data: satellite images, GI vectorial covers, and digitised paper maps. The hypothesis is that the satellite image allows to map the exact borders of homogeneous patches, while small scale vector GI cover provides the exact content. That is why satellite images are used to increase the precision of the GI cover. However, the content of homogeneous patches detected on the images is not totally unknown, as absolute radiometric values and visual texture analysis on coloured band combination gives some information.
  • Keywords
    image classification; image colour analysis; image resolution; image texture; signal detection; terrain mapping; GI vectorial covers; absolute radiometric values; coloured band combination; digitised paper maps; homogeneous patches borders; image detection; low resolution satellite images; multidata sources method; old image classification validation; scattered urbanisation process; visual texture analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing and Data Fusion over Urban Areas, 2003. 2nd GRSS/ISPRS Joint Workshop on
  • Conference_Location
    Berlin, Germany
  • Print_ISBN
    0-7803-7719-2
  • Type

    conf

  • DOI
    10.1109/DFUA.2003.1219977
  • Filename
    5731019