• DocumentCode
    2444135
  • Title

    Object-oriented QuickBird image sandy area feature information extraction and analysis in the north of Yanchi County

  • Author

    Cheng, Wei ; Zhang, Yuqing ; Wu, Xiuqin ; Song, Fanlin ; Zhao, Ziyang ; Zhou, Tao

  • Author_Institution
    Coll. of Soil & Water Conservation, Beijing Forestry Univ., Beijing, China
  • fYear
    2011
  • fDate
    24-26 June 2011
  • Firstpage
    1384
  • Lastpage
    1387
  • Abstract
    In order to rapidly and accurately extract the feature information of sandy area in the north of Yanchi County, the QuickBird high-resolution remote sensing images were selected as data source. The choice of the best segmentation scale was analysed in depth. The way of object-oriented supervised classification and object-oriented classification by rules were used into information extraction. The results show object-oriented image feature classification can quickly extract characteristic information of sandy area in the north of Yanchi County by choosing the appropriate scale image segmentation and rules which is determined by the different characteristics of extraction information.
  • Keywords
    feature extraction; geophysical image processing; image classification; image segmentation; object-oriented methods; remote sensing; China; Yanchi County; object-oriented QuickBird image; remote sensing; sandy area feature information extraction; segmentation scale; supervised classification; Cognition; Data mining; Feature extraction; Forestry; Hyperspectral sensors; Image segmentation; ENVI; QuickBird image; object-oriented; sandy area; segmentation scale;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Remote Sensing, Environment and Transportation Engineering (RSETE), 2011 International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-9172-8
  • Type

    conf

  • DOI
    10.1109/RSETE.2011.5964539
  • Filename
    5964539