Paper
15 April 2008 Phase retrieval in sparse aperture systems with phase diversity: a trade space study
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Abstract
Sparse-aperture (SA) telescopes are a technology of interest in the field of remote sensing. Significant optical resolution can be achieved by an array of sub-apertures, mitigating size and weight limitations of full aperture space-deployed sensors. Much of the analysis to date has been done with the assumption that an extended scene is spectrally flat and each pixel has the same spectrum (gray-world assumption). Previous work has found the gray-world assumption is not valid when imaging a spectrally diverse scene and/or when the optical configuration is heavily aberrated. Broadband phase diversity (BPD) is an image-based method to detect the aberrations of a system. It also assumes a gray-world. Digital simulations that quantify the limitations of BPD with respect to spectral diversity of the extended scene, the RMS of the optical path difference (OPD), noise of the system, and band width of the sensor are presented.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Brian J. Daniel, Matthew R. Bolcar, John R. Schott, and James R. Fienup "Phase retrieval in sparse aperture systems with phase diversity: a trade space study", Proc. SPIE 6958, Sensors and Systems for Space Applications II, 69580K (15 April 2008); https://doi.org/10.1117/12.782191
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Cited by 6 scholarly publications.
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KEYWORDS
Signal to noise ratio

Point spread functions

Sensors

Remote sensing

RGB color model

Phase retrieval

Space telescopes

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