Application of Infrared Sensors to Early Launch Detection Through Clouds

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$99,564.00
Award Year:
2005
Program:
SBIR
Phase:
Phase I
Contract:
HQ0006-05-C-7137
Agency Tracking Number:
044-0793
Solicitation Year:
2004
Solicitation Topic Code:
MDA04-169
Solicitation Number:
2004.4
Small Business Information
VISIDYNE, INC.
10 Corporate Place, South Bedford Street, Burlington, MA, 01803
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
049405111
Principal Investigator:
John DeVore
Senior Project Scientist
(805) 687-3026
devore@visidyne.com
Business Contact:
John Bates
Treasurer
(781) 273-2820
bates@visidyne.com
Research Institution:
n/a
Abstract
Visidyne proposes to demonstrate the utility of visible and IR sensors for detecting and characterizing bright targets through cloud layers. Visidyne proposes to take advantage of sensors routinely operated as part of the Department of Energy's Atmospheric Radiation Measurement (ARM) program at their Clouds and Radiation Testbed (CART) in Oklahoma. An uplooking geometry, viewing the sun through clouds from these ground based sensors, will serve as a surrogate for the downlooking geometry of an overhead sensor viewing a terrestrial target such as a missile plume. The Cimel sunphotometer, a robotic, scanning photometer normally used to investigate atmospheric aerosols, will serve as the primary visible and IR sensor. (The proposed use of this instrument should not be confused its new "cloud mode" that is used to infer a broad-area or average cloud optical depth.) The proposed use will provide a cost-effective method for demonstrating potential capabilities of space-based surveillance sensors and validating theory and computer simulations In Phase I Visidyne will use cloud analyses, e.g., time series of cloud cover fraction and depth, routinely generated at the CART site to select specific datasets to analyze. Visidyne will download the selected databases and then perform comparisons with its Monte Carlo Adjoint Problem (MCAP) reverse scattering code and also with coincident analyses from satellite datasets, e.g., the Moderate Resolution Imaging Spectroradiometer (MODIS) on NASA's Terra and Aqua satellites.

* information listed above is at the time of submission.

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