Multi-source building disaster information fusion based on spatial and semantic matching

doi:10.13474/j.cnki.11-2246.2022.0336

Abstract

Abstract: In the national survey on natural disaster risks, there are many sources of house disaster information data, which brings great challenges to the rapid construction of the investigation base database. In order to extract and fuse multi-source house data quickly, this paper realizes the rapid and automatic fusion and reliability evaluation of multi-source house information through the operations of basic data preprocessing, spatial data extraction and automatic fusion of attribute information by using technologies such as information matching based on geospatial location and information matching based on geospatial semantics. On this basis, the natural disaster census database building system is developed to provide reliable and detailed housing construction data for natural disaster census. Practice had proved that the platform results were accurate and reliable, which could effectively improve the efficiency of natural disaster risk survey and greatly reduce labor costs.

Key words: natural disaster census, spatial data extraction, attribute information matching, geospatial semantic, multi-source data fusion

CLC Number:

P208

NI Huizhu, WAN Shuhai, SI Han, FENG Siyuan, REN Xiaolei, LI Zhengqiang, LU Tao. Multi-source building disaster information fusion based on spatial and semantic matching[J]. Bulletin of Surveying and Mapping, 2022, 0(11): 118-122.

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