Some aspects of optimal human-computer symbiosis in multisensor geospatial data fusion

Eugene Levin, Aleksandr Sergeyev

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


Nowadays vast amount of the available geospatial data provides additional opportunities for the targeting accuracy increase due to possibility of geospatial data fusion. One of the most obvious operations is determining of the targets 3D shapes and geospatial positions based on overlapped 2D imagery and sensor modeling. 3D models allows for the extraction of such information about targets, which cannot be measured directly based on single non-fused imagery. Paper describes ongoing research effort at Michigan Tech attempting to combine advantages of human analysts and computer automated processing for efficient human computer symbiosis for geospatial data fusion. Specifically, capabilities provided by integration into geospatial targeting interfaces novel human-computer interaction method such as eye-tracking and EEG was explored. Paper describes research performed and results in more details.

Original languageEnglish
Title of host publication2013 IEEE Aerospace Conference, AERO 2013
StatePublished - 2013
Externally publishedYes
Event2013 IEEE Aerospace Conference, AERO 2013 - Big Sky, MT, United States
Duration: 2 Mar 20139 Mar 2013

Publication series

NameIEEE Aerospace Conference Proceedings
ISSN (Print)1095-323X


Conference2013 IEEE Aerospace Conference, AERO 2013
Country/TerritoryUnited States
CityBig Sky, MT


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