Algorithms for multi-sensor and multi-primitive photogrammetric triangulation

Sung Woong Shin, Ayman F. Habib, Mwafag Ghanma, Changjae Kim, Eui Myoung Kim

Research output: Contribution to journalArticlepeer-review

23 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)411-420
Number of pages10
JournalETRI Journal
Volume29
Issue number4
DOIs
Publication statusPublished - Aug 2007
Externally publishedYes

Keywords

  • Areal primitives
  • Frame camera
  • LIDAR
  • Line camera
  • Linear primitives
  • Multi-sensor triangulation

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • General Computer Science
  • Electrical and Electronic Engineering

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