Integrated automatic pre-processing for change detection based on SURF algorithm and mask filter

Taeheon Kim, Won Hee Lee, Junho Yeom, Youkyung Han

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


Satellite imagery occurs geometric and radiometric errors due to external environmental factors at the acquired time, which in turn causes false-alarm in change detection. These errors should be eliminated by geometric and radiometric corrections. In this study, we propose a methodology that automatically and simultaneously performs geometric and radiometric corrections by using the SURF (Speeded-Up Robust Feature) algorithm and the mask filter. The MPs (Matching Points), which show invariant properties between multi-temporal imagery, extracted through the SURF algorithm are used for automatic geometric correction. Using the properties of the extracted MPs, PIFs (Pseudo Invariant Features) used for relative radiometric correction are selected. Subsequently, secondary PIFs are extracted by generated mask filters around the selected PIFs. After performing automatic using the extracted MPs, we could confirm that geometric and radiometric errors are eliminated as the result of performing the relative radiometric correction using PIFs in geo-rectified images.

Original languageEnglish
Pages (from-to)209-219
Number of pages11
JournalJournal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
Issue number3
StatePublished - 2019


  • Geometric correction
  • Mask filter
  • Matching points
  • Pseudo invariant features
  • Radiometric correction
  • Speeded-up Robust feature


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