This thesis describes a process to help discover Near-Earth Objects
(NEOs) of larger than 140 meters in diameter from ground based
telescopes. The process involves using Nyquist sampling rate to
take data from a ground-based telescope and measuring the
atmospheric seeing parameter, r0, at the time of data collection.
r0 is then used to create a point spread function (PSF) for a NEO
at the visual magnitude limit of the telescope and exposure time.
This PSF is cross-correlated with the Nyquist sampling rate image
from the telescope to reduce the noise and therefore increase the
detection probability of a faint NEO. The process is compared to
the current detection technique of using Rayleigh sampling with a
threshold detector. This process is tested versus improper seeing
parameter measurement and different locations of the NEO within the
charged-coupled device (CCD) pixel field of view (FOV). The biggest
improvement is where the NEO is located in the corner of the pixel
FOV. The new process shows improvement in detection probability
over the current process in all simulations.
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