Research Of Landforms Information Mining Algorithm Based On Double Inverse Mapping

With the rapid development of information, reasonable, efficient, accurate datamining is crucial for the analysis and research of information. Among them, thegeomorphologic information complex as an urgent for people to spatial data explorationand research information for geophysical research has important significance. In recentyears, geomorphologic information data mining method has been widely used in the fieldof engineering, construction, agriculture, mineral exploration, natural disaster preventionand environment protection. The paper based on the double inverse limit and topologicaltransitivity theories as the foundation, solve the shortcomings in traditional methods, theincomplete morphological information for data mining and analysis, and obtain thecorresponding results.First of all, this paper based on the theory of double inverse limit space, according tothe characteristics of incomplete information of four units, The geomorphic informationcollection is divided into geomorphic unit object geomorphic unit object attribute sets andattribute value sets of geomorphic unit. Topological space model to the viewpoint oftopology is built and proved applicable to incomplete landform information combinedwith three-dimensional surface morphology function.Then, based on the information entropy and the probability of similarity theory,according to the landform information, built the inverse mapping between the doubleinverse limit space and double space. Proved the existence of topological isomorphismbetween the original information space and information space, and analyzed thetopological similarity of the original landform information space and objectiveinformation space using topological transitivity.Thirdly, according to the characteristics of geomorphic information four units, thispaper established the geomorphic information system model, simulated the dynamicbehavior and analyze the phase trajectory, Lyapunov exponent and bifurcation of landforminformation system to proved the stability and accuracy of this method in the miningprocess.Finally, the elevation information, gradient information and slope landform information is simulated for detailed analysis using MAPGIS software, in order for theaccurate interpretation of geomorphologic information data mining results andcomprehensive evaluation on this basis, and provide for the basic method and referencesfor the establishment of the terrain database information, local suitability evaluation.