A geology-constrained new intelligence method of synthesizing geologic bodies

Abstract

Due to its massive content, complex processing logic and heavy repeated workload, geologic body synthesis, as the key task in the geological map compilation, is the primary factor affecting the process. Therefore, our study aims to realize the high-efficiency synthesis of geologic bodies. This paper presents a new intelligence method of synthesizing geologic bodies, which takes geological constraints (expert knowledge) as the core and cartographic generalization as the means to merge spatial graphs. Also three ways of synthesizing geologic bodies were designed (merging geologic bodies with the same properties, merging interactively selected geologic bodies, merging geologic bodies into drawn bigger polygons) based on regular mapping of geological expert knowledge such as geological age, stratigraphic name. By using the geological map data in the Beishan area to test the geologic body merging module, and through repeated comparative experiments, it is proved that this intelligence method can not only rapidly realize the "one-click" synthesis of the spatial graphs of geologic bodies, but also complete the automatic mapping and assignment of geological knowledge. The comprehensive results accord with the geological rule. This method provides an effective automatic tool for simplifying geologic bodies or other surface elements to reflect the spatial distribution in a geological map.

Keywords

• geologic body synthesis
• geological knowledge
• artificial intelligence
• cartography generalization