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《Geomatics and Information Science of Wuhan University》 2009-12
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Methods for Landslide Deformation Analysis and Prediction

ZHANG Zhenglu1,2,3 WANG Hongchen1,4 DENG Yong2,5 XIE Niansheng5(1 Key Laboratory of Geological Hazards on Three Gorges Reservoir Area of Ministry of Education,Three Gorges University,8 Daxue Road,Yichang 443002,China)(2 School of Geodesy and Geomatics,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(3 Key Laboratory of Bureau of Surveying and Mapping for Precise Engineering and Industry Surveying,Wuhan University,129 Luoyu Road,Wuhan 430079,China)(4 Journals Press of Wuhan University,129 Luoyu Road,Wuhan 430079,China)(5 Hydro_China Zhongnan Engineering Corperation,9 Xiangzhang Road,Changsha 410014,China)  
With the development of surveying and measuring technology,landslide monitoring is developing to automatic,three-dimensional,and real-time.The monitoring data processing is more and more important.We study the new methods for landslide deformation analysis and prediction,such as lifting wavelets,fuzzy clustering,fuzzy neural network,and its applications,form a comparatively integrate idea,and provide new research direction for landslide deformation analysis and prediction.
【Fund】: 国家973计划资助项目(2003CB716705);; 三峡大学三峡库区地质灾害教育部重点实验室开放研究基金资助项目(2008KDZ14)
【CateGory Index】: P642.22
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