Quality Analysis of Unmanned Aerial Vehicle Images Using a Resolution Target

Jin Hyo Kim, Sang Min Sung

Research output: Contribution to journalArticlepeer-review

Abstract

Unmanned aerial vehicle (UAV) photogrammetry is an emerging means of acquiring high-precision rapid spatial information and data because it is cost-effective and highly efficient. However, securing uniform quality in the results of UAV photogrammetry is difficult due to the use of low-cost navigation devices, non-surveying cameras, and rapid changes in shooting locations depending on the aircraft’s behavior. In addition, no specific procedures or guidelines exist for performing quantitative quality tests or certification methods on UAV images. Additionally, test tools for UAV image quality assessment only use the ground sample distance (GSD), often resulting in a reduced image quality compared with that of manned aircraft images. In this study, we performed a modulation transfer function (MTF) analysis using a slanted edge target and a GSD analysis to confirm the necessity of MTF analysis in UAV image quality assessments. In this study, we aimed to address this issue by conducting a modulation transfer function (MTF) analysis using a slanted edge target and a ground sample distance (GSD) analysis. This was carried out to confirm the necessity of MTF analysis in evaluating UAV image quality. Furthermore, we analyzed the impact of flight height and mounted sensors on image quality at different study sites.

Original languageEnglish
Article number2154
JournalApplied Sciences (Switzerland)
Volume14
Issue number5
DOIs
StatePublished - Mar 2024

Keywords

  • ground sample distance (GSD)
  • image quality
  • modulation transfer function (MTF)
  • unmanned aerial vehicle (UAV) photogrammetry

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