Signal Processing For Staring Infrared Images

K. Chow; J. P. Rode

doi:10.1117/12.932832

7 December 1981 Signal Processing For Staring Infrared Images

K. Chow, J. P. Rode

Proceedings Volume 0292, Processing of Images and Data from Optical Sensors; (1981) https://doi.org/10.1117/12.932832
Event: 25th Annual Technical Symposium, 1981, San Diego, United States

Abstract

The signal from a staring infrared imager, initially in the charge domain, is characterized by low contrast and nonuniformities. To achieve high performance, the signal processor should have low noise and operate with background suppression. Fixed pattern noise compensation must also be available. Low noise multiplexing can be achieved with charge coupled devices (CCD). With a hybrid focal plane, background suppression at the Si CCD input can be achieved with charge partitioning, charge skimming, accoupling or fill/spill gain reduction. Fixed pattern noises arising from detector variations, CCD input threshold variations, charge transfer process and other sources, must be compensated electronically using optical calibration. A performance model of the input circuit taking into account the various noise sources will be discussed and compared with experimental data. Data on focal plane fixed pattern noises will be presented. Various techniques to implement the nonuniformity correction, especially in a tactical system, will also be discussed.

Citation Download Citation

K. Chow and J. P. Rode "Signal Processing For Staring Infrared Images", Proc. SPIE 0292, Processing of Images and Data from Optical Sensors, (7 December 1981); https://doi.org/10.1117/12.932832

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