상세정보
학술지
Algorithms for Multi-sensor and Multi-primitive Photogrammetric Triangulation
- 저자
- 신성웅, Ayman F.Habib, Mwafag Ghanma, Chang Jae Kim, Eui-Myoung Kim
- 발행일
- 200708
- 출처
- ETRI Journal, v.29 no.4, pp.411-420
- ISSN
- 1225-6463
- 출판사
- 한국전자통신연구원 (ETRI)
- 협약과제
- 06MD1100, 멀티센서 공간영상정보 통합처리기술 개발, 김경옥
- 초록
- The steady evolution of mapping technology is leading to an increasing availability of multi-sensory geo-spatial datasets, such as data acquired by single-head frame cameras, multi-head frame cameras, line cameras, and light detection and ranging systems, at a reasonable cost. The complementary nature of the data collected by these systems makes their integration to obtain a complete description of the object space. However, such integration is only possible after accurate co-registration of the collected data to a common reference frame. The registration can be carried out reliably through a triangulation procedure which considers the characteristics of the involved data. This paper introduces algorithms for a multi-primitive and multi-sensory triangulation environment, which is geared towards taking advantage of the complementary characteristics of spatial data available from the above mentioned sensors. The triangulation procedure ensures the alignment of involved data to a common reference frame. The devised methodologies are tested and proven efficient through experiments using real multi-sensory data.
- KSP 제안 키워드
- Common reference, Complementary characteristics, Data collected, Geo-spatial, Light detection and Ranging(LiDAR), Mapping Technology, Multi-head, Object space, Reasonable Cost, Reference frame, Spatial data