Subject-oriented large-scale geographic spatial data dynamic fusion method

Abstract

The invention relates to a subject-oriented large-scale geographic spatial data dynamic fusion method. The method comprises steps as follows: Step a), firstly, establishing a matching model and an association model of geographic spatial data; Step b), then constructing a subject-oriented geographic spatial data fusion frame; Step c), establishing a subject-oriented geographic spatial data fusion rule base in combination with a geographical element matching technology of multi-source heterogeneous geographic spatial data; Step d), finally, realizing the subject-oriented large-scale geographic spatial data dynamic fusion method under the support of geographic raster data information fusion, geometric information fusion and attribute information fusion methods.

Description

technical field [0001] The invention relates to the technical field of geospatial information, in particular to a subject-oriented large-scale geospatial data dynamic fusion method. Background technique [0002] The development of modern information technology (such as the Internet of Things, various sensor networks, etc.) has doubled the cost of information collection, processing, storage and transmission, greatly reduced transaction and management costs, and greatly enriched the quantity, type and quality of collected data. characteristics, so that the acquired data has large-scale, multi-scale, multi-dimensional and obvious spatio-temporal characteristics. However, how to effectively organize and manage and effectively integrate and analyze these large-scale spatio-temporal data to better serve the industry and the public has become an urgent problem to be solved. [0003] The traditional information fusion technology is aimed at the comprehensive information content of ...

AI Technical Summary

Problems solved by technology

[0003] The traditional information fusion technology is aimed at the comprehensive information content of spatio-temporal phenomena of different spatial scales and time scales, and studies the geographical information and fine spatial structure models of multi-scale and multi-dimensional, same scale and latitude but different units, and multi-type content Fusion technology makes it difficult to interconnect, intercommunicate, and interuse dynamic information, and cannot better realize comprehensive operation and management of dynamic information, which is prone to fault-tolerant and reckless problems of dynamic fusion

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