@Article{O.Fors2010,
author="O. Fors
and J. Nu{\~n}ez
and Xavier Otazu
and A. Prades
and Robert D. Cardinal",
title="Improving the Ability of Image Sensors to Detect Faint Stars and Moving Objects Using Image Deconvolution Techniques",
journal="Sensors",
year="2010",
volume="10",
number="3",
pages="1743--1752",
optkeywords="image processing",
optkeywords="image deconvolution",
optkeywords="faint stars",
optkeywords="space debris",
optkeywords="wavelet transform",
abstract="Abstract: In this paper we show how the techniques of image deconvolution can increase the ability of image sensors as, for example, CCD imagers, to detect faint stars or faint orbital objects (small satellites and space debris). In the case of faint stars, we show that this benefit is equivalent to double the quantum efficiency of the used image sensor or to increase the effective telescope aperture by more than 30\% without decreasing the astrometric precision or introducing artificial bias. In the case of orbital objects, the deconvolution technique can double the signal-to-noise ratio of the image, which helps to discover and control dangerous objects as space debris or lost satellites. The benefits obtained using CCD detectors can be extrapolated to any kind of image sensors.",
optnote="CIC",
optnote="exported from refbase (http://refbase.cvc.uab.es/show.php?record=1285), last updated on Wed, 19 Feb 2014 09:38:36 +0100",
doi="10.3390/s100301743"
}