Optimization of the GOES-I Imager's radiometric accuracy: drift and 1/f noise suppression

James C. Bremer; Gustave J. Comeyne III

doi:10.1117/12.161561

15 November 1993 Optimization of the GOES-I Imager's radiometric accuracy: drift and 1/f noise suppression

James C. Bremer, Gustave J. Comeyne III

Proceedings Volume 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data; (1993) https://doi.org/10.1117/12.161561
Event: Optical Engineering and Photonics in Aerospace Sensing, 1993, Orlando, FL, United States

Abstract

Many scanning sensors produce raw outputs in which their response to the signal is superimposed on a large background. The signal changes rapidly, due to the scanned input, while the background varies more slowly, due to thermal drifts and 1/f noise. Whenever such a sensor is used as a radiometer, it is necessary to perform a differential measurement: to measure a known reference and subtract it from the raw signals, cancelling the common-mode background. Calibration is also a differential measurement: the difference between each channel's response to two known inputs is divided by the difference between these two inputs to determine the linear gain of the channel. The GOES-I Imager obtains its background subtraction references by viewing space, with radiance virtually equal to zero, during the turn- around intervals at the ends of scan lines. It used a temperature-monitored blackbody as a second reference to measure the gain. We have verified our analytical predictions by computer simulations. Gaussian and 1/f noise were generated and combined, filtered, and processed using the differential measurement algorithms. Excellent agreement was demonstrated between these simulations and the analytical model.

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James C. Bremer and Gustave J. Comeyne III "Optimization of the GOES-I Imager's radiometric accuracy: drift and 1/f noise suppression", Proc. SPIE 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, (15 November 1993); https://doi.org/10.1117/12.161561

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KEYWORDS

Black bodies

Calibration

Imaging systems

Sensors

Signal to noise ratio

Interference (communication)

Computer simulations

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