Joint 3D localization and classification of space debris using a multispectral rotating point spread function

We consider the problem of joint three-dimensional (3D) localization and material classification of unresolved space debris using a multispectral rotating point spread function (RPSF). The use of RPSF allows one to estimate the 3D locations of point sources from their rotated images acquired by a si...

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Veröffentlicht in:	Applied optics (2004) 2019-11, Vol.58 (31), p.8598-8611
Hauptverfasser:	Wang, Chao, Ballard, Grey, Plemmons, Robert, Prasad, Sudhakar
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Image acquisition Localization Optimization Point sources Point spread functions Random noise Rotation Sensor arrays Space debris Spectra Spectral classification Spectral signatures
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