1 June 1992 CiNeRaMa model for detection range estimates
Author Affiliations +
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, Eli T. Talmor, } "CiNeRaMa model for detection range estimates," Optical Engineering 31(6), (1 June 1992). https://doi.org/10.1117/12.56171 . Submission:


Research on the detection capability of space camera
Proceedings of SPIE (November 04 2015)
MWIR sensor well fill: sources, effects and mitigation
Proceedings of SPIE (February 02 2017)
Understanding system trades: a tutorial
Proceedings of SPIE (May 02 2017)
Efficient display of high-dynamic-range imagery
Proceedings of SPIE (September 07 1995)
Spatial aliasing effects in ground vehicle IR imagery
Proceedings of SPIE (September 15 1992)

Back to Top