Fast geocoding of UAV images for disaster site monitoring

Hyunju Nho, Dong Yoon Shin, Hong Gyoo Sohn, Seongsam Kim

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


In urgent situations such as disasters and accidents, rapid data acquisition and processing is required. Therefore, in this study, a rapid geocoding method according to EOP (Exterior Orientation Parameter) correction was proposed through pattern analysis of the initial UAV image information. As a result, in the research area with a total flight length of 1.3 km and a width of 0.102 km2, the generation time of geocoding images took about 5 to 10 seconds per image, showing a position error of about 8.51 m. It is believed that the use of the rapid geocoding method proposed in this study will help provide basic data for on-site monitoring and decision-making in emergency situations such as disasters and accidents.

Original languageEnglish
Pages (from-to)1221-1229
Number of pages9
JournalKorean Journal of Remote Sensing
Issue number5-4
Publication statusPublished - 2020

Bibliographical note

Publisher Copyright:
© 2020 Korean Society of Remote Sensing. All right reserved.

All Science Journal Classification (ASJC) codes

  • Computers in Earth Sciences
  • Earth and Planetary Sciences (miscellaneous)
  • Engineering (miscellaneous)


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