在处理勘查数据过程中,重点是发现和确定数据异常区域,而异常区域的边界应该是变化幅度最大的点构成的边界。利用二元多项式微商法,找到所有峰顶,对异常数据峰顶的陡峭度和峰值幅度两方面进行综合判断,从而圈定异常峰,提取反映特性变化的峰的边缘,从而圈定异常区域。文中对峰值的算法进行了理论推导和分析,并给出了异常圈定的处理步骤。实际处理数据的结果表明,该方法是有效和准确的。利用文中方法圈定出的异常面积比采用标准方差与等值线圈定异常方法小,表征了真正的异常边界。
In dealing with the process of exploration data,the focus is to discover and identify the abnormal areas of data,while the abnormal area boundary should be the border composed the points of maximum amplitude variation.Micro Commercial uses the binary polynomial derivative method to find all the peaks,judges the steep degree and peak amplitude of the abnormal data peak,comprehensively,and thus delineates the abnormal peak,then,extracts the edge of the peak reflecting the characteristic change to delineate the abnormal area.The paper derives and analyses the algorithm of the peak in theory,and gives the processing steps to delineate abnormal areas.The actual data processing results show that the method is effective and accurate.The abnormal area delineated by using this method is smaller than that delineated by the standard deviation and isoline methods,characterizing the true anomalous boundary.