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Journal Article Algorithms for Multi-sensor and Multi-primitive Photogrammetric Triangulation
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Authors
Sung Woong Shin, Ayman F. Habib, Mwafag Ghanma, Chang Jae Kim, Eui-Myoung Kim
Issue Date
2007-08
Citation
ETRI Journal, v.29, no.4, pp.411-420
ISSN
1225-6463
Publisher
한국전자통신연구원 (ETRI)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.4218/etrij.07.0106.0268
Project Code
06MD1100, Integrated Processing Technology for Multi-Sensor Spatial Imagery Information, Kim Kyung Ok
Abstract
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 Keywords
Common reference, Complementary characteristics, Data collected, Geo-spatial, Light detection and Ranging(LiDAR), Mapping technologies, Multi-head, Object space, Reasonable Cost, Reference frame, Spatial data