• DocumentCode
    1893958
  • Title

    Extraction of linear surface features from remote sensing image to construction crop acreage survey sampling frame

  • Author

    Deng, Hui ; Wang, Di ; Liu, Jia ; Wang, Linmin ; Chen, Zhongxin ; Zhou, Qingbo

  • Author_Institution
    Key Lab. of Resources Remote Sensing & Digital Agric., Minist. of Agric., Beijing, China
  • fYear
    2011
  • fDate
    24-29 July 2011
  • Firstpage
    2947
  • Lastpage
    2948
  • Abstract
    Acreage of crops is an important agricultural economic information. In this paper, Using a detailed land use data, constructed sample frame. Ditch planted crops into account the direction,. In support of GIS spatial technology, the survey cost and distribution of natural land, set a reasonable standard of land area. Then under the irregular block size, spatial distribution, the relationship between adjacent blocks are combined into large blocks, large blocks were split into standard land area , so the blocks area are all similar. Using mathematical morphology characteristics of land surface features extracted linear, then establishment of relatively uniform size of the irregular sampling frame. Using random sampling method for study sample experiment.
  • Keywords
    crops; feature extraction; geographic information systems; geophysical image processing; random processes; sampling methods; terrain mapping; GIS spatial technology; agricultural economic information; crop acreage survey sampling frame; ditch planted crops; irregular sampling frame; land surface feature extraction; linear surface feature extraction; mathematical morphology characteristics; natural land distribution; random sampling method; remote sensing image; spatial distribution; standard land area; Agriculture; Feature extraction; Morphology; Remote sensing; Roads; Shape; Surface morphology; Area sampling frame; Linear Surface Features; crop acreage; morphology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoscience and Remote Sensing Symposium (IGARSS), 2011 IEEE International
  • Conference_Location
    Vancouver, BC
  • ISSN
    2153-6996
  • Print_ISBN
    978-1-4577-1003-2
  • Type

    conf

  • DOI
    10.1109/IGARSS.2011.6049833
  • Filename
    6049833