A Grid-Generation Based Method for Information Fusion

Relative studies on multi-scale information fusion, multi-source information fusion and multi-sensor information fusion are reviewed. On the basis of analyzing problems in existing methods of information fusion, a grid-generation model for simulating population density of China is proposed as a case of multi-source information fusion. By fusing remotely sensed data, meteorological data, soil data and statistical data, spatial distribution of population density in China is successfully simulated, in which grid generation process is described in detail. In addition, the basic idea of a grid-generation model as a case of multi-scale information fusion is discussed. The models for multi-source information fusion and for multi-scale information fusion are two foundational component parts of the grid-generation based method for information fusion.