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.
展开▼
