• DocumentCode
    3445999
  • Title

    Progressive attribute editing for geological interpretation of remote sensing images

  • Author

    Hu Shao ; Lun Wu ; Yuan Tian ; Yong Gao ; Wei Kang

  • Author_Institution
    Inst. of Remote Sensing & Geographic Inf. Syst., Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    20-22 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Step-by-step and from-easy-to-difficult are the outstanding characteristics of geological interpretationof remote sensing images. The interpretation results, especially the attributes of interpreted features, can be changed or adjusted on each step according to the reference materials and the field work feedback. As aconsequence, geological interpreters may make a lot of attribute adjustments and transformations among the geological categories during their interpretation process. Considering this typicalcharacteristicof geological interpretationof remote sensing images, in this article we introduce the design and implementation ofa progressive attribute editing module, which can improve interaction experience and make the interpretationprocesses more efficient.
  • Keywords
    remote sensing; rocks; aconsequence interpreter; attribute adjustments; attribute transformations; easy-to-difficult characteristic; field work feedback; geological categories; geological interpretation typical characteristic; geological interpreter; interaction experience improvement; interpretation process; interpretation processes; interpreted feature attributes; ofa progressive attribute editing module design; ofa progressive attribute editing module implementation; reference materials; remote sensing images; step-by-step characteristic; Databases; Materials; Remote sensing; Rocks; Software; XML; geological interpretation; progressive attribute editing module;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Geoinformatics (GEOINFORMATICS), 2013 21st International Conference on
  • Conference_Location
    Kaifeng
  • ISSN
    2161-024X
  • Type

    conf

  • DOI
    10.1109/Geoinformatics.2013.6626108
  • Filename
    6626108