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在重磁资料解释中，为了突出有用的异常，区分不同的异常源，往住要在频率域进行位场转换处理。由于转换因子具有的高频放大作用，造成了位场处理的不稳定性，因此要附加滤波器压制高频干扰。我们通过研究发现，采样点距也是决定位场处理稳定的一个重要因素。为此，提出了抽样分组法，即对离散数据进行等间距抽样重新分组，每一组作为独立的部分进行转换处理，最后将每组的结果合成，还原为要转换的结果。该法在不损失原始观测信息的情况下，改善了转换因子，有效地提高了位场转换的稳定性。解析延拓等模型计算表明，此方法简单易行，效果明显。
In the interpretation of gravity and magnetic data, in order to highlight the useful anomaly, distinguish between different anomalies, to live in the frequency domain for field-level conversion process. As the conversion factor has a high-frequency amplification, resulting in the instability of the field processing, it is necessary to add filters to suppress high-frequency interference. Through our research, we found that sampling pitch is also an important factor that determines the stability of the field. To this end, a sampling grouping method is proposed, that is, the discrete data is sampled at equal intervals and re-grouped. Each group is converted as an independent part. Finally, the results of each group are synthesized and restored to the result to be converted. This method improves the conversion factor without losing the original observation information and effectively improves the stability of the transition of the field. Analysis of extension and other model calculations show that this method is simple and effective, the effect is obvious.