• DocumentCode
    2162831
  • Title

    Object Oriented Information Extraction from High Resolution Remote Sensing Imagery

  • Author

    Ma, Hongbin ; Zhang, Cun ; Yang, Shengfei ; Xu, Junfang

  • Author_Institution
    Coll. of Resource & Civil Eng., Northeastern Univ., Shenyang, China
  • fYear
    2009
  • fDate
    17-19 Oct. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    With the wide use of high-resolution remote sensing image, the technology of object-oriented information extraction from high resolution imagery has been developed rapidly. In this paper, mainly used eCognition software and selected image of HuShiTai in ShenYang as study area, made use of object-oriented technology to extract features information. Finally the information result is compared with traditional schemes. The contrastive result shows that object-oriented technology can overcome the phenomenon of "salt and pepper" which happened in traditional classification, the accuracy of extraction has been greatly improved relative to traditional method and object-oriented technology provides an effective way for the utilization of high-resolution image.
  • Keywords
    feature extraction; image resolution; object-oriented methods; remote sensing; HuShiTai; eCognition software; high resolution remote sensing imagery; object oriented information extraction; Application software; Birds; Data mining; Educational institutions; Image resolution; Image segmentation; Remote monitoring; Remote sensing; Shape; Spatial resolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing, 2009. CISP '09. 2nd International Congress on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-4129-7
  • Electronic_ISBN
    978-1-4244-4131-0
  • Type

    conf

  • DOI
    10.1109/CISP.2009.5304370
  • Filename
    5304370