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
Contract: N/A
Agency Tracking Number: 2211
Amount: $75,837.00
Phase: Phase I
Program: SBIR
Awards Year: 1985
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
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 WILLIAM D HYMAN
 (205) 837-7663
Business Contact
Phone: () -
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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