Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
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 th...
| Autores: | , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2010 |
| País: | España |
| Institución: | Universitat Politècnica de Catalunya (UPC) |
| Repositorio: | UPCommons. Portal del coneixement obert de la UPC |
| Idioma: | inglés |
| OAI Identifier: | oai:upcommons.upc.edu:2117/8439 |
| Acceso en línea: | https://hdl.handle.net/2117/8439 https://dx.doi.org/10.3390/s100301743 |
| Access Level: | acceso abierto |
| Palabra clave: | Image processing Space debris Imatges -- Processament Residus espacials Àrees temàtiques de la UPC::Enginyeria civil::Geomàtica Àrees temàtiques de la UPC::Aeronàutica i espai::Impacte ambiental |
| Sumario: | 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 |
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