Improving the Ability of Image Sensors to Detect Faint Stars and Moving Objects Using Image Deconvolution Techniques

Sensors

Octavi Fors²  Jorge Nú༞z²  Xavier Otazu³  Albert Prades¹ 

[1] Departament d’Enginyeria del Terreny, Cartogràfica i Geofísica, Universitat Politècnica de Catalunya, Barcelona, Spain; E-Mail:;Departament d’Astronomia i Meteorologia and Institut de Ciències del Cosmos (ICC), Universitat de Barcelona (UB/IEEC), Av. Diagonal 647, 08028 Barcelona, Spain;Computer Vision Center, Computer Science Department, Universitat Autònoma de Barcelona, Campus UAB, Cerdanyola del Vallès, 08193 Barcelona, Spain; E-Mail:

关键词: image processing;    image deconvolution;    faint stars;    space debris;    wavelet transform;   

DOI  :  10.3390/s100301743

来源: mdpi

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.