• DocumentCode
    711806
  • Title

    The URBIS project: Vacant urban area classification and detection of changes

  • Author

    Moser, Gabriele ; Krylov, Vladimir ; De Martino, Michaela ; Serpico, Sebastiano

  • Author_Institution
    Dept. of Electr., Electron., Telecommun. Eng. & Naval Archit., Univ. of Genoa, Genoa, Italy
  • fYear
    2015
  • fDate
    March 30 2015-April 1 2015
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    The Urban Land Recycling Information Services for Sustainable Cities (URBIS) project aims to identify and monitor the vacant and abandoned zones in large urban zones (LUZ). High resolution remotely sensed multispectral images will be employed along with the available in situ data to perform classification and multi-temporal change detection on European LUZ in order to facilitate urban redevelopment monitoring. The activity builds on the result of a previous Atlas project that produced high-resolution land use maps for 305 European LUZ and their surroundings (with population over 100.000 inhabitants). This paper focuses on the presentation of URBIS project objectives and scope, and the methodology applied by the research unit at the University of Genoa for classification and change detection of vacant urban zones performed within this project.
  • Keywords
    geophysical image processing; image classification; image resolution; land use; recycling; remote sensing; 305 European LUZ; URBIS project; University of Genoa; high resolution remotely sensed multispectral imaging; large urban zone; multitemporal change detection; urban area classification; urban area detection; urban land recycling information services for sustainable city; Europe; Fabrics; Image resolution; Markov processes; Monitoring; Remote sensing; Urban areas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Urban Remote Sensing Event (JURSE), 2015 Joint
  • Conference_Location
    Lausanne
  • Type

    conf

  • DOI
    10.1109/JURSE.2015.7120532
  • Filename
    7120532