THE PROBLEM OF PREDICTING DETECTION/IDENTIFICATION PROBABILITIES FOR A SMALL, MOBILE ICBM IS TO BE ADDRESSED THROUGH A SPECTRAL MODEL INCLUDING TARGET REFLECTIVITY, BACKGROUND REFLECTIVITY, SOLAR IRRADIANCE, ATMOSPHERIC TRANSMITTANCE/SCATTERING, SENSOR

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$75,837.00
Award Year:
1985
Program:
SBIR
Phase:
Phase I
Contract:
n/a
Agency Tracking Number:
2211
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
New Technology Inc
4811 Bradford Blvd, Huntsville, AL, 35805
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
WILLIAM D HYMAN
(205) 837-7663
Business Contact:
() -
Research Institution:
n/a
Abstract
THE PROBLEM OF PREDICTING DETECTION/IDENTIFICATION PROBABILITIES FOR A SMALL, MOBILE ICBM IS TO BE ADDRESSED THROUGH A SPECTRAL MODEL INCLUDING TARGET REFLECTIVITY, BACKGROUND REFLECTIVITY, SOLAR IRRADIANCE, ATMOSPHERIC TRANSMITTANCE/SCATTERING, SENSOR SENSITIVITY RESPONSE, SENSOR SPECTRAL RESPONSE, AND DETECTION/IDENTIFICATION RESOLUTION CRITERIA. THE MODEL IS TO USE A FRACTAL STATISTICAL BASIS FOR THE SYNTHESIS OF CLOUD DATA, DUST DATA, HAZE DATA, AND FOG DATA INTO A WORKING PROBABILITY FUNCTION.

* information listed above is at the time of submission.

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