Paper
1 August 1991 Errors inherent in the restoration of imagery acquired through remotely sensed refractive interfaces and scattering media
Author Affiliations +
Abstract
The restoration of images acquired by viewing through refractive and scattering media, such as the atmosphere, ocean surface, and seawater, is complicated by refractive errors at the arbitrarily corrugated interface. Additional perturbations in the received image can result from scattering within the transmissive media, as well as customary systematic errors. A restoration algorithm specific to imagery distorted by refraction and multiple scattering has been presented in an earlier paper which proposed the use of laser radar (LIDAR) reflectometry to estimate the refractive surface topography. In the previous algorithm, the reduction of degradations due to multiple scattering in seawater was described in terms of inverse filtering. In this study, the authors generalize the analysis to include a variety of media and sensor configurations. Environmental and systematic errors are quantified in terms of a statistical function which may be expressed as a frequency-domain filter that can be deconvolved from the reconstructed image. Example images are presented which verify the predicted quality of restoration, as a function of resolution and error constraints.
© (1991) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark S. Schmalz "Errors inherent in the restoration of imagery acquired through remotely sensed refractive interfaces and scattering media", Proc. SPIE 1479, Surveillance Technologies, (1 August 1991); https://doi.org/10.1117/12.44530
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

LIDAR

Error analysis

Scattering

Quantization

Image resolution

Cameras

Back to Top