• DocumentCode
    2838358
  • Title

    Extracting Hazardous Geology Information Based on Spatial Data Mining

  • Author

    Zhan, Yunjun ; Yang, Haiwei

  • Author_Institution
    Coll. of Resources & Environ. Eng., Wuhan Univ. of Technol., Wuhan, China
  • fYear
    2009
  • fDate
    1-3 Nov. 2009
  • Firstpage
    514
  • Lastpage
    517
  • Abstract
    Remote sensing technology has been used in hazardous geology survey and evaluation. But there are many problems such as the difficulty of potential hazards body identification, low automation, and low identification accuracy in the condition of complicated terrain. For this, the paper put forward point of using spatial data mining technology to recognize and extract unfavorable geological body. Research shows that data mining can be applied to excavate multi-source information and extract the hazardous geology spots and potential unfavorable geological body. This paper explores and researches on the geological database-construction oriented to multi-source geological spatial information mining, the geological spatial data mining method, mining system and mining process based on unfavorable geological body recognition, proving its feasibility with an instance.
  • Keywords
    data mining; geographic information systems; geology; hazardous areas; geological database; hazardous geology information; multisource geological information; remote sensing; spatial data mining; Data mining; Data visualization; Geographic Information Systems; Geology; Hazards; Knowledge management; Remote sensing; Space technology; Spatial databases; Visual databases; hazardous geoligy; information extracting; remote sensing; spatial data mining;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Networks and Intelligent Systems, 2009. ICINIS '09. Second International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4244-5557-7
  • Electronic_ISBN
    978-0-7695-3852-5
  • Type

    conf

  • DOI
    10.1109/ICINIS.2009.137
  • Filename
    5364595