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在进行区域物探工作时,为了解决填图、构造分区和矿产预测等问题,常常需要将地球物理场的异常进行分区和分类。利用图象识别的有关分法实现综合标志的分区与分类,能够把这一工作引向定量分析的阶段。图象识别又分为“学习”的和“自学的”方法。但无论是需要在已知标准体上进行“学习”的识别方法,还是“自学”识别的方法,都在不同方面提供了新的解释结果。文中还以承德一沈阳和江苏等地为例,阐明了图象识别的方法在区域物探资料解释中的有效性。
During the geophysical work in the area, it is often necessary to partition and classify the anomaly of the geophysical field in order to solve the problems of mapping, structural division and mineral prediction. The use of image recognition of the sub-method to achieve a comprehensive logo of the partition and classification, can lead this work to the quantitative analysis of the stage. Image recognition is divided into “learning” and “self-learning” methods. However, whether it is the need to identify the “learning” of a known standard body or the method of “self-learning”, new explanations are provided on different aspects. The paper also takes Chengde-Shenyang and Jiangsu as examples to illustrate the effectiveness of image recognition methods in geophysical data interpretation.