• DocumentCode
    2247684
  • Title

    An object-based change detection approach by integrating intensity and texture differences

  • Author

    Huang, Lingcao ; Zhang, Guo ; Li, Yang

  • Author_Institution
    Sch. of Remote Sensing Inf. Eng., Wuhan Univ., Wuhan, China
  • Volume
    3
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    258
  • Lastpage
    261
  • Abstract
    With the development of remote sensing technology, using remote sensing images to do change detection is becoming a hotspot. This paper introduces the research status of pixel-based and object-based change detection technology as well as comments on several change detection methods. A technique for pixel-based change detection by integrating the intensity and texture differences between two frames is studied. An object-based change detection method based on this technique is proposed. Experimental results show that the integrated measure is robust with respect to the illumination changes and noise, the performance of which is outstanding especially when applied to object-based change detection because of pixels´ consistency in an object and sharp contrast between objects.
  • Keywords
    image texture; object detection; intensity difference; object-based change detection; pixel-based change detection; remote sensing images; texture difference; Algorithm design and analysis; Change detection algorithms; Detection algorithms; Earth; Humans; Image analysis; Object detection; Pixel; Remote sensing; Robotics and automation; Change Detection; Mean Shift; Object-based; Pixel-based; Texture Differences;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456680
  • Filename
    5456680