关键词: 稀疏自编码器, 归一化处理, 数据融合, 综合解释

Abstract: Multiple solutions are inevitable in the interpretation of a single geophysical prospecting method, especially in the complex geological conditions. Traditionally, the data of different methods of the same survey line are interpreted separately. And then based on the interpretation result, we conduct comprehensive analysis and mutual verification, which is a simple combination analysis method. Although the data characteristics of different methods are take into account, the deeper characteristics of the data are not mined from the data level, and the interpretation results are merely multiple data profiles with poor visualization. To solve this problem, this paper proposes a multi-method engineering geophysical data fusion method based on Sparse Auto Encoders (SAE). SAE is a kind of deep network algorithm, which automatically mines the deep features contained in the data through continuous learning. The fused data integrates the physical parameter features contained in various geophysical data, fully excavates geological information from the data, effectively reduces the ambiguity of interpretation, and provides more visualized display, which reflects the characteristics of geological anomalies more comprehensively.

Key words: sparse auto encoders, normalization processing, data fusion, comprehensive interpretation