Standardization Research on Drone Image Metadata in the Agricultural Field
(주)코리아스칼라
- 최초 등록일
- 2023.10.09
- 최종 저작일
- 2023.09
- 10페이지/ 어도비 PDF
- 가격 4,000원
* 본 문서는 배포용으로 복사 및 편집이 불가합니다.
서지정보
ㆍ발행기관 : 한국산업경영시스템학회
ㆍ수록지정보 : 산업경영시스템학회지 / 46권 / 3호
ㆍ저자명 : Won-Hui Lee, Seung-Hun Bae, Jin Kim, Young Jae Lee, Keo Bae Lim
목차
1. 서 론
2. 드론영상 메타데이터 현황
2.1 회전익
2.2 고정익
3. 표준화 방안
4. 결 론
Acknowledgement
영어 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.
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