关键词: 变差函数, 中值滤波, 稳健方法, 特异值, 滞后距, 噪声

Abstract: Robust variogramis the basic guarantee of the effective spatial prediction using kriging methods. The existing variogram estimators behave poorly in practice. Some are not robust against the outliers in data; others are complex in algorithmin order to achieve robustness or hard to be used widely. The authors propose a simple variogramesti mator based on medianfiltering method, by taking into account correlation of neighbor hoodlags to improve its robustness against outliers. The robustness properties between the existing estimators and the proposed one are compared and analyzed. Experiments are carried out with data existing different types of outliers. The results show that the proposed variogram estimator is not only highly robust against outliers, but also easy to be used generally.

Key words: variogram, median filtering method, robust estimator, outlier, lag, noise