1 June 1992 CiNeRaMa model for detection range estimates
Eli T. Talmor
Author Affiliations +
Abstract
The analysis of radiometric relations is a basic requirement for the performance evaluation of any detection system. The CiNeRaMa (Contrast-to-Noise Ratio Model) presents a tool for system assessment at many engagement scenarios including different targets, atmospheric properties, and electro-optical sensors. The model determines the contrast-to-noise ratio (CNR) of small targets which depends on the detailed parameters of the particular scenario and in general cannot be expressed analytically. The model uses simplified target and sensor models together with radiative transfer calculations using LOWTRAN-7 code. The model incorporates a novel background clutter definition as the function of pixel size divided by the background correlation length and predicts the effects of cognitive screening of the clutter by a human observer. The rms pixel clutter is defined using background power spectral density, sensor resolution, and sensor-to-background distance. The proposed metrics might be useful in the thresholding of background clutter in image processing. The resulting contrast ofthe target above the clutterthreshold is compared with the electronic detector noise. The radiometric results of a typical engagement scenario can be employed for sensitivity analyses of sensor design.
Eli T. Talmor "CiNeRaMa model for detection range estimates," Optical Engineering 31(6), (1 June 1992). https://doi.org/10.1117/12.56171
Published: 1 June 1992
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Target detection

Electro optical modeling

Imaging systems

Atmospheric sensing

Cognitive modeling

Interference (communication)

RELATED CONTENT

Band optimization method for airborne point target detection
Proceedings of SPIE (February 15 2022)
Understanding system trades: a tutorial
Proceedings of SPIE (May 03 2017)
Minimum resolvable power contrast model
Proceedings of SPIE (January 12 2018)
Efficient display of high-dynamic-range imagery
Proceedings of SPIE (September 08 1995)
Spatial aliasing effects in ground vehicle IR imagery
Proceedings of SPIE (September 16 1992)

Back to Top