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
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;
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
DOI :
10.1109/ICINIS.2009.137