Parameter estimation for slit-type scanning sensors

Astronomy and Astrophysics – Astronomy

Scientific paper

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Image Processing, Infrared Astronomy Satellite, Infrared Scanners, Parameter Identification, Remote Sensors, Satellite Observation, All Sky Photography, Maximum Likelihood Estimates, Point Sources, Position Errors, Random Variables, Spaceborne Astronomy, Statistical Decision Theory

Scientific paper

The Infrared Astronomical Satellite, scheduled for launch into a 900 km near-polar orbit in August 1982, will perform an infrared point source survey by scanning the sky with slit-type sensors. The description of position information is shown to require the use of a non-Gaussian random variable. Methods are described for deciding whether separate detections stem from a single common source, and a formulism is developed for the scan-to-scan problems of identifying multiple sightings of inertially fixed point sources for combining their individual measurements into a refined estimate. Several cases are given where the general theory yields results which are quite different from the corresponding Gaussian applications, showing that argument by Gaussian analogy would lead to error.

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