| 基于卡尔曼滤波的D-InSAR和水准监测数据融合方法研究 |
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| 引用本文： | 李怀展,查剑锋,米丽倩.基于卡尔曼滤波的D-InSAR和水准监测数据融合方法研究[J].大地测量与地球动力学,2015,35(3):472-476. |
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| 作者姓名： | 李怀展 查剑锋 米丽倩 |
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| 摘 要： | 针对面状监测的D-InSAR技术在沉降最大值附近精度较低,而高精度水准测量只能得到有限个监测点变形值的缺陷,利用集合卡尔曼滤波方法对D-InSAR和水准监测结果进行同化,从而对目标进行高精度面状沉降变形监测。结果表明,基于集合卡尔曼滤波同化结果相比于反演值和D-InSAR监测结果有了很大改善。将该方法应用于济宁邹济公路,经同化值的总均方根误差为17.7mm,满足高等级公路变形监测的精度要求。
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| 关 键 词： | D-InSAR 集合卡尔曼滤波 融合 高等级公路 形变监测 |
Study on the Fusion Method of D-InSAR and Level Monitoring Data |
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| LI Huaizhan,ZHA Jianfeng,MI Liqian.Study on the Fusion Method of D-InSAR and Level Monitoring Data[J].Journal of Geodesy and Geodynamics,2015,35(3):472-476. |
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| Authors: | LI Huaizhan ZHA Jianfeng MI Liqian |
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| Abstract: | The precision of D-InSAR techniques for monitoring the planar near the maximum subsidence monitoring is low, and we can only get limited monitoring deformation value by high precision leveling. So we use the ensemble Kalman filter method to assimilate D-InSAR and level monitoring results, in order to achieve the goal of high precision planar surface subsidence deformation monitoring. The results show that the collection based on Kalman filtering assimilation results are greatly improved compared with the inversion values and D-InSAR monitoring results, thereby realizing the high precision surface subsidence monitoring. We apply this method to Zouxian-Jining highway in Jining, where the assimilation value total root mean square error is 17.7 mm, which satisfies the requirement of precise deformation monitoring of a high grade highway. |
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| Keywords: | D-InSAR ensemble Kalman filter fusion highway deformation monitoring |
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