Abstract:Based on the basic idea of grid data filtering and in view of the issue of unstable center of gravity in subdomain partitioning that exists in subdomain filtering approach, presented by Mr.Yand Gao-yin,the paper presented a new subdomain partitioning approach, that is: through observing the numeric distribution or gradient variation of data in filtering window and on the basis of fully considering the symmetry of subdomain partitioning,adopting the mean-square-root error or the size of average gradient in symmetric subdomain as distinguish index to determine the main gradient direction of data variation and using this distinguish index to replace the distinguish index of data variation smoothing coefficient;as concerns the taking number of filtering output,the implement of weighted mean should consider the size of contribution of two symmetric subdoamins in gradient direction of data variation to filtering output,making the results of filtering output more stable.The results of data test showed the output results of grid data filtering are more reasonable and robust.
马涛, 王铁成, 王雨. 一种改进的网格数据保持梯度滤波方法[J]. 石油地球物理勘探, 2007, 42(2): 198-201.
Ma Tao, Wang Tie-cheng, Wang Yu. An improved gradient-preseved grid data filtering approach. OGP, 2007, 42(2): 198-201.