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dc.contributor.advisorAlexander H. Slocum.en_US
dc.contributor.authorPhan, Long N., 1976-en_US
dc.contributor.otherMassachusetts Institute of Technology. Dept. of Mechanical Engineering.en_US
dc.date.accessioned2012-12-13T18:50:25Z
dc.date.available2012-12-13T18:50:25Z
dc.date.copyright2012en_US
dc.date.issued2012en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/75664
dc.descriptionThesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2012.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (p. 266-276).en_US
dc.description.abstractA major source of energy savings occurs on the thermal envelop of buildings, which amounts to approximately 10% of annual energy usage in the United States. To pursue these savings, energy auditors use closed loop energy auditing processes that include infrared thermography inspection as an important tool to assess deficiencies and identify hot thermal gradients. This process is prohibitively expensive and time consuming. I propose fundamentally changing this approach by designing, developing, and deploying an Automated Rapid Thermal Imaging Systems Technology (ARTIST) which is capable of street level drive-by scanning in real-time. I am doing for thermal imaging what Google Earth did for visual imaging. I am mapping the world's temperature, window by window, house by house, street by street, city by city, and country by country. In doing so, I will be able to provide detailed information on where and how we are wasting energy, providing the information needed for sound economic and environmental energy policies and identifying what corrective measures can and should be taken. The fundamental contributions of this thesis relates to the ARTIST. This thesis will focus on the following topics: * Multi-camera synthetic aperture imaging system * 3D Radiometry * Non-radiometric infrared camera calibration techniques * Image enhancement algorithms - Hyper Resolution o Kinetic Super Resolution - Thermal Signature Identification - Low-Light Signal-to-Noise Enhancement using KSRen_US
dc.description.statementofresponsibilityby Long N. Phan.en_US
dc.format.extent276 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectMechanical Engineering.en_US
dc.titleAutomated rapid thermal imaging systems technologyen_US
dc.typeThesisen_US
dc.description.degreePh.D.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.identifier.oclc819330678en_US


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