Abstract：The method of decision-level fusion based on Kalman filteration was used in order to reduce and even eliminate the errors in multi-sensor monitoring and to correctly evaluate the geological characteristics of a landslide in Southwest China. The data of horizontal and vertical displacements were analysed. Results show that the landslide had experienced stages of slow deformation，uniform deformation，accelerated deformation and rapid deformation. It indicates that the landslide is a stepped process of variation. The rainfall infiltration is the main factor. The Kalman filtration fusion theory reduces the limitations of traditional methods by making use of the fusion method. It eliminated the ambiguity of the data collected by sensors. The feasibility and effectiveness of the method are confirmed.
郭 科，彭继兵，许 强，等. 滑坡多点数据融合中的多传感器目标跟踪技术应用[J]. 岩土力学，2006，27(3)：479-481.(GUO Ke，PENG Jibing，XU Qiang，et al. Application of multi-sensor target tracking to multi-station monitoring data fusion in landslide[J]. Rock and Soil Mechanics，2006，27(3)：479-481.(in Chinese))
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2014, Vol. 33 
