دورية أكاديمية

Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques

التفاصيل البيبلوغرافية
العنوان: Improving the ability of image sensors to detect faint stars and moving objects using image deconvolution techniques
المؤلفون: Fors Aldrich, Octavi, Núñez de Murga, Jorge, 1955-, Otazu Porter, Xavier, Prades, Albert, Cardinal, Robert D.
المصدر: Articles publicats en revistes (Física Quàntica i Astrofísica)
بيانات النشر: MDPI
سنة النشر: 2010
المجموعة: Dipòsit Digital de la Universitat de Barcelona
مصطلحات موضوعية: Detectors òptics, Telescopis espacials, Estels, Processament d'imatges, Optical detectors, Space telescopes, Stars, Image processing
الوصف: n 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.
نوع الوثيقة: article in journal/newspaper
وصف الملف: 10 p.; application/pdf
اللغة: English
تدمد: 1424-8220
العلاقة: Reproducció del document publicat a: https://doi.org/10.3390/s100301743Test; Sensors, 2010, vol. 10, num. 3, p. 1743-1752; https://doi.org/10.3390/s100301743Test; http://hdl.handle.net/2445/152658Test; 588593
الإتاحة: https://doi.org/10.3390/s100301743Test
http://hdl.handle.net/2445/152658Test
حقوق: cc-by (c) Fors Aldrich, Octavi et al., 2010 ; http://creativecommons.org/licenses/by/3.0/esTest ; info:eu-repo/semantics/openAccess
رقم الانضمام: edsbas.EB9B93F9
قاعدة البيانات: BASE