A new least squares adjustment method for map conflation

Xiaohua Tong, Susu Deng, Wen Zhong Shi

Research output: Journal article publicationJournal articleAcademic researchpeer-review

12 Citations (Scopus)

Abstract

A new approach for map conflation based on least squares adjustment is presented. The constraints in map conflation are first derived, and the coordinates displacements of the conflated objects are then obtained by iterative adjustment computation. The results of the map conflation test show that the proposed method has a high precision and better ability to maintain the characteristics of the conflated objects compared with the exist methods.
Original languageChinese (Simplified)
Pages (from-to)621-625
Number of pages5
JournalGeomatics and Information Science of Wuhan University
Volume32
Issue number7
Publication statusPublished - 5 Jul 2007

Keywords

  • Data fusion
  • Least squares adjustment
  • Map conflation

ASJC Scopus subject areas

  • Earth-Surface Processes
  • Computer Science (miscellaneous)

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