Deformation monitoring and prediction methods for expressway above goaf based on time series SAR technique
Abstract：In order to obtain the deformation law of expressway above goal, solve not enough monitoring data for aban- doned mine to establish the subsidence prediction models, the fused deformation values of level measure and Differenti- al Interferometric Synthetic Aperture Radar(D-InSAR) technique were used to establish the prediction models based on Least Squares-Support Vector Machine(LS-SVM). The details are as follows:the fused data were processed to get equal-time interval time series deformation values, whose trend items should be rejected, and the residues were pro- cessed by stationary, normality and zero mean;Using Cao method to calculate embedding dimension, and establishing sample set to train LS-SVM model;Finally, using the model to predict the land subsidence in the future. The rolling prediction results of the No. 511 point show that the maximum absolute error of subsidence is 3 mm, maximum relative error is 2.2%. Therefore, the predicting results are reliability.
Keywords：expresswaydeformation monitoringD-InSARLS-SVMprediction
Publication Date：2012-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 1841-1846 )