卡尔曼滤波在相似材料模型数据处理中的应用  

Application of Kalman Filter in Similar Material Model Data Processing

作　　者：郑汝育[1] 吴侃[1] 郝刚[1] 

机构地区：[1]中国矿业大学环境与测绘学院,江苏徐州221008

出　　处：《地矿测绘》2011年第1期26-29,共4页Surveying and Mapping of Geology and Mineral Resources

基　　金："青蓝工程"资助;国家环保公益性行业专项经费资助(200809128)

摘　　要：分析离散线性系统的卡尔曼滤波模型,针对工业近景摄影系统所获得的相似材料模型数据进行建模,并运用M atlab软件进行编程求解。得出卡尔曼滤波在相似材料模型数据处理中具有明显的去噪效果,其下沉曲线更能反映模拟的实际情况。结合Logistic函数拟合对比分析,说明此滤波模型的准确性。This article is about the comprehensive analysis of Kalman filter model of discrete linear system.Model with similar material model data which received from industrial photogrammetry system,and calculate with Matlab,drawn conclusion that the de-noising effect of the Kalman filter in similar material model data processing is obvious,and the subsidence curve can reflect more the actual situation.Then contrast analyzes with the calculation of Logistic function fitting,shows that the filter model is accuracy.In the end the article puts forward an idea of the combination of Logistic function and Kalman filter model,which needs further research.

关 键 词：工业摄影测量系统 卡尔曼滤波 相似材料模型 动态下沉 

分 类 号：TD325[矿业工程—矿井建设]