Rational function model-based image matching for digital elevation models

Hong Gyoo Sohn, Choung Hwan Park, Hoon Chang

Research output: Contribution to journalArticlepeer-review

19 Citations (Scopus)


This paper presents an image matching technique for IKONOS satellite imagery based on rational function models (RFMs). This algorithm adopts the object-space approach and reduces the search space to within the confined line-shaped area called the piecewise matching line (PML). Also, the detailed procedure of generating 3D surface information using the RFM coefficients (RFCs) is introduced to illustrate an end-user's point of view. The final digital elevation model (DEM) generated using the proposed scheme shows a mean error of 2·2 m and rmse of 3·8 m compared with that from a 1:5000 scale digital map.

Original languageEnglish
Pages (from-to)366-383
Number of pages18
JournalPhotogrammetric Record
Issue number112
Publication statusPublished - 2005 Dec

All Science Journal Classification (ASJC) codes

  • Engineering (miscellaneous)
  • Computer Science Applications
  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)


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