Abstract
Combined with a landslide instance, the application in extraction the landslide comprehensive information by Kalman filter and bootstrap fusion is studied. First of all, by means of Kalman filter, the original landslide time series of multi-sensor is dealt with denoising. Then the comprehensive monitoring information of multi-sensor is extracted by applying the bootstrap fusion and the maximum entropy principle. Finally, the results show that the proposed Kalman filter and bootstrap fusion (K-BF) method is feasible.
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