Application of multi-sensor valuation based on Bayes fusion theory to the dynamic deformation for landslide monitoring
Jia Hai-bo · Shuiwen dizhi gongcheng dizhi · 2012
Many sensors are used to collect the comprehension information in landslides,which may reflect time-variance of a landslide.In the procedure of multi-sensor data fusion,some evaluation indexes are inconsistent.In order to eliminate this phenomenon,Bayes data fusion theory is employed.Analysis of landslides is carried out by using a decision-making fusion method.The results indicate that the landslide had experienced a slow deformation stage/ accelerated deformation stage/uniform motion deformation stage/ rapid deformation stage.It is consistent with the law of nature.The feasibility and effectiveness of the method had also been proved at the same time.