SAR图像增强的建筑基坑底面下沉风险监测仿真

Simulation of SAR Image Enhanced Risk Monitoring for Bottom Subsidence of Building Foundation Pit

建筑地基深基坑开挖产生的底面下沉极易对周边建筑造成安全风险,而传统的建筑深地基开挖风险监测存在监测效率不佳、结果精确度低等问题。为了解决传统方法中存在的问题,提出建筑地基深基坑开挖底面下沉风险监测方法。对获取的建筑地基深基坑土地SAR图像通过统计模型方法实行几何校正。采用轮廓模板和自学习方法完成深基坑土地SAR图像的增强处理。将干涉雷达方法与时间序列分析、永久散射体技术结合,实现建筑地基深基坑开挖底面下沉风险监测。实验结果表明,所提方法的建筑地基深基坑开挖底面下沉风险监测效果好、精确度高,具有较高的实际应用价值。

The bottom subsidence caused by the excavation of deep foundation pit of buildings is very easy to lead to safety risk,while the traditional risk monitoring for deep foundation pit excavation of buildings has problems such as low monitoring efficiency and accuracy.Therefore,a monitoring method for the bottom subsidence of deep foundation pit excavation was proposed.First,SAR images of deep foundation pit were geometrically corrected by statistical model.And then,contour template and self-learning method were adopted to enhance SAR image of deep foundation pit.Moreover,interferometric radar method was combined with time series analysis and permanent scatterers to realize the risk monitoring for the bottom subsidence of deep foundation pit excavation.Experimental results show that the proposed method has good effect and high accuracy on the risk monitoring of the bottom subsidence of deep foundation pit excavation,so its practical application value is high.