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FLIR & MMW Algorithms to Detect and Classify Stationary Targets

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
20666
Program Year/Program:
1995 / SBIR
Agency Tracking Number:
20666
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
I-MATH ASSOC., INC.
230 Cattail Ct, PO Box 560 Orlando, FL 32856
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1995
Title: FLIR & MMW Algorithms to Detect and Classify Stationary Targets
Agency / Branch: DOD / ARMY
Contract: N/A
Award Amount: $599,915.00
 

Abstract:

Six multisensor (FLIR/MMW) data bases will be accessed to include all those at CNVEOD including the VISION 1 and subsequent field tests, particularly those involving the RIMS and BWI MMW radars, along with the IIDAS and SAIRS FLIRS. Data from other government agencies will include that in TABILS and at HDL, MICOM, and AATD. A Phase II plan will be produced for training and testing three ATR algorithms not heretofore considered for tank-mounted applications but proven in related contexts: 1. An adaptive Bayesian statistical classifier, which in its operational implementation would be continually retrained upon the actual ground clutter within which the tank is operating. 2. A "genetic" algorithm, which uses the same feature sets as #1, but evolves a different polynomial discriminant function. Both the "genetic" and "adaptive" classifier algorithms are under development for the LONGBOW MMW radar by Systems Dynamics, who would be subcontracted to I-MATH for this SBIR. 3. Geometric hashing algorithms, which I-MATH has recently developed using a CNVEOD-provided FLIR imagery under a Phase II Air Force SBIR. Such algorithms provide a robust mechanism for multisensor fusion as well, since each feature is indexed by its geometric position. This greatly facilitates the incorporation of MMW range (z) profiles as a third coordinate to FLIR (x,y) has points.

Principal Investigator:

Alexander Akerman Iii
4078573213

Business Contact:

Small Business Information at Submission:

I-math Associates, Inc.
P.o. Box 560788 Orlando, FL 32856

EIN/Tax ID:
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No