Share Email Print

Proceedings Paper

Optimization of the GOES-I Imager's radiometric accuracy: drift and 1/f noise suppression
Author(s): James C. Bremer; Gustave J. Comeyne
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper 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.

Paper Details

Date Published: 15 November 1993
PDF: 13 pages
Proc. SPIE 1938, Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data, (15 November 1993); doi: 10.1117/12.161561
Show Author Affiliations
James C. Bremer, Swales and Associates, Inc. (United States)
Gustave J. Comeyne, Swales and Associates, Inc. (United States)

Published in SPIE Proceedings Vol. 1938:
Recent Advances in Sensors, Radiometric Calibration, and Processing of Remotely Sensed Data
Pat S. Chavez; Robert A. Schowengerdt, Editor(s)

© SPIE. Terms of Use
Back to Top