Design and analysis of radiometric instruments using high-level numerical models and genetic algorithms

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dc.contributor.authorSorensen, Ira Josephen
dc.contributor.committeechairMahan, James Roberten
dc.contributor.committeememberScott, Elaine P.en
dc.contributor.committeememberVick, Brian L.en
dc.contributor.committeememberGürdal, Zaferen
dc.contributor.committeememberPriestley, Kory J.en
dc.contributor.departmentMechanical Engineeringen
dc.date.accessioned2014-03-14T20:19:52Zen
dc.date.adate2002-12-13en
dc.date.available2014-03-14T20:19:52Zen
dc.date.issued2002-11-15en
dc.date.rdate2003-12-13en
dc.date.sdate2002-12-06en
dc.description.abstractA primary objective of the effort reported here is to develop a radiometric instrument modeling environment to provide complete end-to-end numerical models of radiometric instruments, integrating the optical, electro-thermal, and electronic systems. The modeling environment consists of a Monte Carlo ray-trace (MCRT) model of the optical system coupled to a transient, three-dimensional finite-difference electrothermal model of the detector assembly with an analytic model of the signal-conditioning circuitry. The environment provides a complete simulation of the dynamic optical and electrothermal behavior of the instrument. The modeling environment is used to create an end-to-end model of the CERES scanning radiometer, and its performance is compared to the performance of an operational CERES total channel as a benchmark. A further objective of this effort is to formulate an efficient design environment for radiometric instruments. To this end, the modeling environment is then combined with evolutionary search algorithms known as genetic algorithms (GA's) to develop a methodology for optimal instrument design using high-level radiometric instrument models. GA's are applied to the design of the optical system and detector system separately and to both as an aggregate function with positive results.en
dc.description.degreePh. D.en
dc.identifier.otheretd-12062002-205031en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12062002-205031/en
dc.identifier.urihttp://hdl.handle.net/10919/29955en
dc.publisherVirginia Techen
dc.relation.haspartdissertation.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectMonte Carlo ray traceen
dc.subjectgenetic algorithmsen
dc.subjectradiometryen
dc.subjectremote sensingen
dc.titleDesign and analysis of radiometric instruments using high-level numerical models and genetic algorithmsen
dc.typeDissertationen
thesis.degree.disciplineMechanical Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.leveldoctoralen
thesis.degree.namePh. D.en

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