Computational Radiation Tolerance for High Quality Infrared Focal Plane Arrays

An imaging system includes a focal plane array, readout electronics, and a computing system in which the number of active pixels is either set at a low-fraction of the total pixels thereby reducing the effect of radiation damage, or radiation damage over time is detected and automatically compensate...

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Bibliographic Details
Main Authors Buurma, Christopher Frank, Browning, Nigel
Format Patent
LanguageEnglish
Published 20.10.2022
Subjects
COLORIMETRY
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
MEASUREMENT OF INTENSITY, VELOCITY, SPECTRAL CONTENT,POLARISATION, PHASE OR PULSE CHARACTERISTICS OF INFRA-RED,VISIBLE OR ULTRA-VIOLET LIGHT
MEASURING
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
RADIATION PYROMETRY
TESTING
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Summary:An imaging system includes a focal plane array, readout electronics, and a computing system in which the number of active pixels is either set at a low-fraction of the total pixels thereby reducing the effect of radiation damage, or radiation damage over time is detected and automatically compensated. Machine learning is used to identify radiation damaged pixels and damaged regions which are subsequently eliminated and replaced by the computational system. The machine learning is used to identify changes in the fixed pattern signal/noise and/or noise of the system, and is then computationally corrected.
Bibliography:Application Number: US202217687170