• DocumentCode
    3372882
  • Title

    A conceptual framework for change detection in very high resolution remote sensing images

  • Author

    Bruzzone, Lorenzo ; Bovolo, Francesca

  • Author_Institution
    Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento, Italy
  • fYear
    2010
  • fDate
    25-30 July 2010
  • Firstpage
    2555
  • Lastpage
    2558
  • Abstract
    This paper addresses the problem of change detection (CD) in very high geometrical resolution (VHR) multitemporal images. In this context, we propose a general conceptual framework that aims at giving: i) a taxonomy of different radiometric changes occurring when dealing with VHR remote sensing images; and ii) a global approach to the definition of the architecture of effective CD methods for VHR images. This framework represents a first step for defining effective guidelines for the development of a new generation of CD methods that can be properly analyze multitemporal VHR images taking into account the intrinsic complexity associated with these data.
  • Keywords
    computational complexity; image resolution; radiometry; remote sensing; VHR remote sensing images; change detection; general conceptual framework; intrinsic complexity; multitemporal images; radiometric changes; very high geometrical resolution; very high resolution remote sensing images; Data mining; Image resolution; Pixel; Radiometry; Semantics; Sensors; Taxonomy; Change detection; Image processing; Multitemporal images; Remote sensing; Very High Geometrical resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2010 IEEE International
  • Conference_Location
    Honolulu, HI
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4244-9565-8
  • Electronic_ISBN
    2153-6996
  • Type

    conf

  • DOI
    10.1109/IGARSS.2010.5653930
  • Filename
    5653930