• DocumentCode
    3001923
  • Title

    Remote sensing image change detection based on spatial neighborhood analysis

  • Author

    Huijuan Chen ; Ping Liu ; Xing Huang

  • Author_Institution
    Shenzhen Inst. of Adv. Technol., Shenzhen, China
  • fYear
    2013
  • fDate
    Nov. 29 2013-Dec. 1 2013
  • Firstpage
    296
  • Lastpage
    299
  • Abstract
    Remote sensing image change detection can analyze surface coverage change trends and evolution law of the land use/cover, disaster monitoring, forest vegetation change, urban expansion and layout, and many other fields play an important role in positively, has the urgent scientific applications demand and extensive application prospect. In this paper, we discussed remote sensing image change detection, and introduced one method based on spatial neighborhood analysis. Case study shows that, the effect of the method introduced is obvious where detection area is spatial neighborhood correlation.
  • Keywords
    disasters; geophysical image processing; land cover; land use; remote sensing; vegetation; disaster monitoring; forest vegetation change; land cover; land use; remote sensing image change detection; spatial neighborhood analysis; spatial neighborhood correlation; surface coverage change trends; surface coverage evolution law; urban expansion; urban layout; Colored noise; Image color analysis; Image segmentation; Remote sensing; Sensors; bilateral filtering; image change detection; remote sensing; spatial neighborhood analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control System, Computing and Engineering (ICCSCE), 2013 IEEE International Conference on
  • Conference_Location
    Mindeb
  • Print_ISBN
    978-1-4799-1506-4
  • Type

    conf

  • DOI
    10.1109/ICCSCE.2013.6719977
  • Filename
    6719977