Paper
15 July 1994 Design of an IRFPA nonuniformity correction algorithm to be implemented as a real-time hardware prototype
Jonathan W. Fenner, Solomon Henry Simon, Dayton D. Eden
Author Affiliations +
Abstract
As new IR focal plane array (IRFPA) technologies become available, improved methods for coping with array errors must be developed. Traditional methods of nonuniformity correction using simple calibration mode are not adequate to compensate for the inherent nonuniformity and 1/f noise in some arrays. In an effort to compensate for nonuniformity in a HgCdTe IRFPA, and to reduce the effects of 1/f noise over a time interval, a new dynamic neural network (NN) based algorithm was implemented. The algorithm compensates for nonuniformities, and corrects for 1/f noise. A gradient descent algorithm is used with nearest neighbor feedback for training, creating a dynamic model of the IRFPA's gains and offsets, then updating and correcting them continuously. Improvements to the NN include implementation on a IBM 486 computer system, and a close examination of simulated scenes to test the algorithms boundaries. Preliminary designs for a real-time hardware prototype have been developed as well. Simulations were implemented to test the algorithm's ability to correct under a variety of conditions. A wide range of background noise, 1/f noise, object intensities, and background intensities were used. Results indicate that this algorithm can correct efficiently down to the background noise. Our conclusions are that NN based adaptive algorithms will supplement the effectiveness of IRFPA's.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jonathan W. Fenner, Solomon Henry Simon, and Dayton D. Eden "Design of an IRFPA nonuniformity correction algorithm to be implemented as a real-time hardware prototype", Proc. SPIE 2225, Infrared Detectors and Focal Plane Arrays III, (15 July 1994); https://doi.org/10.1117/12.179711
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KEYWORDS
Nonuniformity corrections

Prototyping

Computer simulations

Computing systems

Staring arrays

Calibration

Evolutionary algorithms

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