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Research on building DSM fusion method based on adaptive spline and target characteristic guidance

  • Jinming Liu
  • , Hao Chen*
  • , Shuting Yang
  • *Corresponding author for this work
  • PLA
  • School of Electronics and Information Engineering, Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

In order to adapt to the actual scene of a stereo satellite observing the same area sequen-tially and improve the accuracy of the target-oriented 3D reconstruction, this paper proposed a building DSM fusion update method based on adaptive splines and target characteristic guidance. This method analyzed the target characteristics of surface building targets to explore their intrinsic geometric structure information, established a nonlinear fusion method guided by the target characteristics to achieve the effective fusion of multiple DSMs on the basis of maintaining the target structural characteristics, and supported the online updating of DSM to ensure the needs of practical engineering applications. This paper presented a DSM fusion method for surface building targets and finally conducted DSM fusion experiments using typical urban area images of different scenes. The experimental results showed that the proposed method can effectively constrain and improve the DSM of buildings, and the integrity of the overall construction of the target 3D model structure was significantly improved, indicating that this paper provides an effective and efficient DSM constraint method for buildings.

Original languageEnglish
Article number467
JournalInformation (Switzerland)
Volume12
Issue number11
DOIs
StatePublished - Nov 2021
Externally publishedYes

Keywords

  • 3D reconstruction
  • Adaptive splines
  • DSM
  • Remote sensing imagery

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