Paper
1 August 1991 Resolution limits for high-resolution imaging lidar
Author Affiliations +
Proceedings Volume 1416, Laser Radar VI; (1991) https://doi.org/10.1117/12.43731
Event: Optics, Electro-Optics, and Laser Applications in Science and Engineering, 1991, Los Angeles, CA, United States
Abstract
We investigate the way laser-speckle noise and limited signal power affect the quality of images reconstructed from diffraction field data obtained with a pupil-plane array of optical heterodyne detectors. Modeling the detected signal from each detector sub-element as a circular-complex Gaussian random variable and taking into account the random amplitudes of the detected signals arising from laser-speckle effects, we compute the SNR of the Fourier spectrum of the coherent intensity image formed from the array of heterodyne field measurements. The resulting SNR expression is compared to that obtained earlier, P.S. Idell (1988), for the same quantity estimated from photocount-limited, focal plane detector measurements. This comparison shows that the spatial frequency SNR performance of both systems is identical when the systems are operated at high signal-level operating conditions (number of signal photocounts per speckle much greater than one). When signal levels drop significantly below one signal photocount/speckle, we find that focal plane imaging performs somewhat better at estimating all but the very highest spatial frequencies.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Paul S. Idell "Resolution limits for high-resolution imaging lidar", Proc. SPIE 1416, Laser Radar VI, (1 August 1991); https://doi.org/10.1117/12.43731
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Signal to noise ratio

Heterodyning

Imaging systems

Sensors

Signal detection

Spatial frequencies

Receivers

Back to Top