Bulletin of Surveying and Mapping ›› 2021, Vol. 0 ›› Issue (5): 10-14.doi: 10.13474/j.cnki.11-2246.2021.0133

Previous Articles     Next Articles

Surface classification information mining based on multi-source spatio-temporal data

DU Meng, ZHAO Ping, ZHANG Hao, ZHU Mingfei, QIAN Mengru   

  1. Provincial Geomatics Center of Jiangsu, Nanjing 210013, China
  • Received:2020-06-08 Published:2021-05-28

Abstract: With the development of territorial space, the demand for surface classification information in natural resource management and territorial space planning is increasing day by day. How to obtain the surface classification information efficiently and accurately by using the data mining method has become an important research direction. Based on the analysis of multi-source data, referring to the classification scheme of the third national land survey, taking multi-source spatiao-temporal data as the data source, multi-dimensional surface classification, semantic rules mapping, spatial comprehensive mapping, multi-scene feature judgment, classification weight judgment, spatial aggregation analysis and other methods are used to mine the surface classification information. the paper proposes a method of surface classification information mining with the advantages of gathering multi-source data. It is of great significance to enrich the product types and information dimensions of surface classification data.

Key words: multi-source spatio-temporal data, surface classification, information mining, data product, information

CLC Number: