Title:
Modeling challenges of advanced thermal imagers

dc.contributor.advisor Bennett, Gisele
dc.contributor.advisor Rhodes, William T.
dc.contributor.author Moyer, Steven K. en_US
dc.contributor.committeeMember John Buck
dc.contributor.committeeMember Ronald G. iggers
dc.contributor.committeeMember DeWeerth, Stephen P.
dc.contributor.committeeMember Hunt, William D.
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2006-09-01T19:04:35Z
dc.date.available 2006-09-01T19:04:35Z
dc.date.issued 2006-05-03 en_US
dc.description.abstract With the increased technological advances of thermal imagers, existing theoretical models are not capable of predicting the advantages of advanced thermal imagers. The advanced thermal imager contains a staring focal plane array, which may be sensitive to multiple spectra, and light enough to be mounted on a rifle. Research was conducted to address portions of these three areas. Psychophysical experiments were conducted to model the impact of insufficient sampling on human observer performance for the identification of military vehicles. An information comparison metric was proposed for the comparison of different spectral images. The impact of dead pixels and thermal imager noise on the comparison metric were measured. A human performance model was then developed to predict a humans ability to identify small handheld objects. The impacts of these models on current and future research were discussed. en_US
dc.description.degree Ph.D. en_US
dc.format.extent 4482601 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/11453
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.subject Multi-waveband imaging en_US
dc.subject Target acquisition
dc.subject Sampling
dc.title Modeling challenges of advanced thermal imagers en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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