논문 상세보기

Standardization Research on Drone Image Metadata in the Agricultural Field KCI 등재

농업분야 드론영상 메타데이터 표준화 연구

  • 언어KOR
  • URLhttps://db.koreascholar.com/Article/Detail/426214
구독 기관 인증 시 무료 이용이 가능합니다. 4,000원
한국산업경영시스템학회지 (Journal of Society of Korea Industrial and Systems Engineering)
한국산업경영시스템학회 (Society of Korea Industrial and Systems Engineering)
초록

This study examines and proposes standardization approaches to address the heterogeneous issues of metadata in drone imagery within the agricultural sector. Image metadata comes in various formats depending on different camera manufacturers, with most utilizing EXIF and XMP. The metadata of cameras used in fixed-wing and rotary-wing platforms, along with the metadata requirements in image alignment software, were analyzed for sensors like DJI XT2, MicaSense RedEdge-M, and Sentera Double4K. In the agricultural domain, multispectral imagery is crucial for vegetation analysis, making the provision of such imagery essential. Based on Pix4D SW, a comparative analysis of metadata attributes was performed, and necessary elements were compiled and presented as a proposed standardization (draft) in the form of tag information.

목차
1. 서 론
2. 드론영상 메타데이터 현황
    2.1 회전익
    2.2 고정익
3. 표준화 방안
4. 결 론
Acknowledgement
저자
  • Won-Hui Lee(Spartial Information Research Institute, LX) | 이원희 (한국국토정보공사 공간정보연구원) Corresponding author
  • Seung-Hun Bae(Spartial Information Research Institute, LX) | 배성훈 (한국국토정보공사 공간정보연구원)
  • Jin Kim(Spartial Information Research Institute, LX) | 김진 (한국국토정보공사 공간정보연구원)
  • Young Jae Lee(Spartial Information Research Institute, LX) | 이영재 (한국국토정보공사 공간정보연구원)
  • Keo Bae Lim(Spartial Information Research Institute, LX) | 임거배 (한국국토정보공사 공간정보연구원)