Automatic Smoke and Obscurant Cloud Pattern Recognition from Visible and Thermal Imagery

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$600,000.00
Award Year:
1995
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
20722
Agency Tracking Number:
20722
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Science & Technology Corp (Currently SCIENCE & TECHNOLOGY CORP.)
101 Research Dr., Hampton, VA, 23666
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Roger E. Davis
(505) 521-4353
Business Contact:
() -
Research Institution:
n/a
Abstract
U.S. Army smoke and obscurant field testing programs produce information and data for assessment of inventory and developmental obscurants. Determinations of obscurant cloud dimensions, locations, and centroids are often used for quantifying performance. To determine geometric cloud characterization parameters, current data reduction procedures require time-sensitive and potentially inconsistent manual (human) location of cloud perimeters from visible and infrared video imagery. The Phase I work plan proposes to identify both software and hardware components necessary to create an automated cloud perimeter location system. The plan seeks to integrate human cues into a knowledge base which will utilize image processing techniques and algorithms. The Phase I effort will also explore algorithms for the extraction of additional obscurant information, e.g., path radiance and cloud density, from the video imagery. Successful techniques and algorithms will be recommended for inclusion in the Phase II engineering of the perimeter detection system.

* information listed above is at the time of submission.

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