Application of Kalman Fliter in Geochemistry Elements Noise Reduction
The noise in the survey data for geochemistry elements affects the veracity of geochemistry anomaly demarcation. In the paper, Kalman filter is applied to reduce noise in the geochemistry survey data and geochemistry anomaly is then determined. By applying Kalman filter in the treatment of survey data from 1:200000 hydrographic deposits in the northern section of Three River (Sanjiang) Region in southwestern China, we validated the practicability and reliability of Kalman filter in the noise reduction for geochemistry data. By further analyzing the geochemistry anomaly with noise-reduced data in the southern side of the northern section of Three River (Sanjiang) Region, we found a large size Cu anomaly area, which is the first finding in the Nu River area in the northern part of Three River Region.
Ke Guo Ling Chen Ju Xing Tang
College of Information Management, Chengdu University of Technology, Chengdu 610059, Sichuan, China
国际会议
The 12th Conference of the International Association for Mathematical Geology(第12届国际数学地质大会)
北京
英文
359-362
2007-08-26（万方平台首次上网日期，不代表论文的发表时间）