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将模式识别方法应用于地球物理资料处理,近年来已引起了国内外学术界的注意。模式识别可以使我们充分利用在野外获得的资料,从中“榨取”出更多的地质信息。它不仅可能自动提取我们所需要的地球物理资料,而且还可能对所提取出来的资料自动进行“解释”。本文主要说明在用计算机进行地球物理资料的自动处理和解释时,可以把其中一些问题归结为模式识别问题,从而可以运用模式识别的许多原理和方法。文中简要介绍了统计模式识别和结构模式识别两大类方法的一般原理。较详细地介绍了用句法方法识别波形和标记的松驰算法,以及它们在地球物理资料自动处理中可能的应用。这是一个值得注意的、有价值的研究领域。
The pattern recognition method applied to geophysical data processing has attracted the attention of academics at home and abroad in recent years. Pattern recognition can allow us to make full use of the information obtained in the field, from which we can extract more geological information. It may not only automatically extract the geophysical data we need, but it may also “automatically” interpret the extracted data. This article mainly shows that some of the problems can be attributed to pattern recognition problems when using computers to process and interpret geophysical data automatically, so that many principles and methods of pattern recognition can be applied. In this paper, the general principles of statistical pattern recognition and structure pattern recognition are briefly introduced. This paper introduces in detail the slack algorithms for identifying waveforms and marks using syntax and their possible applications in the automatic processing of geophysical data. This is a noteworthy and valuable area of research.