Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Sensitivity of optical synthesis imaging through direct photodection

Not Accessible

Your library or personal account may give you access

Abstract

All interferometric imaging is based on a direct application of the Van Cittert-Zernike theorem. Because of the existence of cooled solid-state photodetectors with hardly any readout noise, the sensitivity of optical interferometric imaging is limited almost exclusively by the Poissonian shot noise of photoelectron counting. We shall derive the signal-to-noise ratios (SNRs) in the reconstructed image, both for ideal imaging, which is possible for space-based arrays, and for bispectral (or closure-phase) imaging, which is necessary for ground-based arrays. We shall show1 that the beam combination geometry plays no essential role in determining SNR. Also, at high photon rates, the image SNR is the same for ideal arrays as it is for ground-based arrays. However, the sensitivity of ground-based imaging is severely degraded for faint objects that produce less than about 0.3 photon per spatial coherence area per coherence time. I shall compare bispectral imaging with self-calibration and discuss the tradeoff between sensitivity and resolution.

© 1990 Optical Society of America

PDF Article
More Like This
Digital postprocessing of partially confocal images: signal-to-noise ratio and depth discrimination

J. A. Conchello, J. J. Kim, and E. W. Hansen
MPP7 OSA Annual Meeting (FIO) 1990

Dynamic speckle spatial coherence measurements with single-mode optical fiber couplers

Marc D. Mermelstein and R. G. Priest
TuI5 OSA Annual Meeting (FIO) 1990

High Sensitivity, Preamplified Direct-Detection-FSK Distribution System

T. Chow, W. J. Miniscalco, B. A. Thompson, R. B. Childs, A. W. Yu, and D. M. Fye
WB6 Optical Amplifiers and Their Applications (OAA) 1990

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.