• DocumentCode
    737887
  • Title

    Human Settlements: A Global Challenge for EO Data Processing and Interpretation

  • Author

    Gamba, Paolo

  • Author_Institution
    Dipt. di Elettron., Univ. di Pavia, Pavia, Italy
  • Volume
    101
  • Issue
    3
  • fYear
    2013
  • fDate
    3/1/2013 12:00:00 AM
  • Firstpage
    570
  • Lastpage
    581
  • Abstract
    The availability of fine spatial resolution earth observation (EO) data has been always considered as a plus for human settlement monitoring from space. It calls, however, for new and efficient data processing tools, capable to manage huge data amounts and provide information for urban area monitoring, management, and protection. Issues related to data processing at the global level imply multiple-scale processing and a focused data interpretation approach, starting from human settlement delineation using spatial information and detailing down to material identification and object characterization using multispectral and/or hyperspectral data sets. This paper attempts to provide a consistent framework for information processing in urban remote sensing, stressing the need for a global approach able to exploit the detailed information available from EO data sets.
  • Keywords
    data handling; geographic information systems; geophysical image processing; image fusion; radar imaging; remote sensing; synthetic aperture radar; town and country planning; EO data interpretation; EO data processing; EO data sets; data amount management; global level imply multiple-scale processing; human settlement delineation; human settlement monitoring; hyperspectral data sets; material identification; multispectral data sets; object characterization; spatial resolution earth observation data; urban area management; urban area monitoring; urban area protection; urban remote sensing; Data mining; Data processing; Earth Observing System; Feature extraction; Remote sensing; Spatial resolution; Urban areas;
  • fLanguage
    English
  • Journal_Title
    Proceedings of the IEEE
  • Publisher
    ieee
  • ISSN
    0018-9219
  • Type

    jour

  • DOI
    10.1109/JPROC.2012.2189089
  • Filename
    6175095