Real-time georeferencing of image sequence acquired by a UAV multi-sensor system

Kyoungah Choi, Impyeong Lee

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations

Abstract

Real-time image georeferencing technologies are required to generate spatial information promptly from the image sequences acquired by an airborne multi-sensor system. We thus develop a sequential aerial triangulation (AT) algorithm based on the combined adjustment model. The proposed algorithm enables us to perform AT rapidly with a minimum of computation at the current stage using the computational results from the previous stage during the acquisition of an image sequence whenever a new image is added. The experimental results based on a simulated data set show that the georeferencing of an image sequence at any stage took less than 0.1 second and its accuracy was determined within ±4cm on the ground points coordinates comparing to the results of the existing simultaneous AT. Consequently, this algorithm can be effectively used for diverse applications requiring real-time image georeferencing such as disaster monitoring and image-based navigation.

Original languageEnglish
Title of host publication2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, M2RSM 2011
DOIs
StatePublished - 2011
Event2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, M2RSM 2011 - Xiamen, China
Duration: 10 Jan 201112 Jan 2011

Publication series

Name2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, M2RSM 2011

Conference

Conference2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping, M2RSM 2011
Country/TerritoryChina
CityXiamen
Period10/01/1112/01/11

Keywords

  • Combined adjustment
  • Component
  • Georeferencing
  • Real-time
  • Sequential aerial triangulation

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