Automated change detection for updating settlements at smaller-scale maps from updated larger-scale maps

H. B. Qi, Zhilin Li, J. Chen

Research output: Journal article publicationJournal articleAcademic researchpeer-review

18 Citations (Scopus)


This paper presents a method for automated detection of changes between updated largerscale (1:10,000) maps and to-be-updated smaller-scale (1:50,000) maps, with settlements as an example. In the method, (i) discrepancies between two maps are detected and recognized through an exhaustive comparison of map features; (ii) these discrepancies are then quantified and represented in a formalized way; (iii) with a combination of cause analysis and quantification of discrepancies, a series of rules are formulated to distinguish updates from discrepancies. Real-life data are used to verify the effectiveness of this method and the results suggest that the new method works well.
Original languageEnglish
Pages (from-to)133-146
Number of pages14
JournalJournal of Spatial Science
Issue number1
Publication statusPublished - 1 Jun 2010


  • Change detection
  • Data matching
  • Data update
  • Map error
  • Map generalization
  • Topographic map

ASJC Scopus subject areas

  • Geography, Planning and Development
  • Energy(all)
  • Atmospheric Science

Cite this