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WAVELET AND LEARNING CLUSTERING ALGORITHMS FOR AUTOMATIC TARGET RECOGNITION

Award Information

Agency:
Department of Defense
Branch:
Defense Advanced Research Projects Agency
Award ID:
18346
Program Year/Program:
1992 / SBIR
Agency Tracking Number:
18346
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
AIMS, INC.
6213 Executive Boulevard Rockville, MD 20852
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Woman-Owned: Yes
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1992
Title: WAVELET AND LEARNING CLUSTERING ALGORITHMS FOR AUTOMATIC TARGET RECOGNITION
Agency / Branch: DOD / DARPA
Contract: N/A
Award Amount: $49,955.00
 

Abstract:

THE PROPOSED RESEARCH AND DEVELOPMENT EFFORT AIMS AT DEMONSTRATING THE FOLLOWING TECHNICLA CAPABILITIES; (A) HIGH PERFORMANCE ALGORITHMS FOR ATR BASED ON TWO-DIMENSIONAL SENSOR DATA; (B) EFFICIENT AND FAST SOFTWARE AND HARDWARE IMPLEMENTATIONS OF THESE ALGORITHMS ON LOW COST MULTIPROCESSOR BOARDS. THESE CAPABILITIES REST WITH THE FOLLOWING TECHNICAL PRINCIPLES; (A) THE RECENTLY DISCOVERED PROPERTIES OF WAVELET REPRESENTATIONS AS ROBUST MULTIRESOLUTION REPRESENTATIONS OF ONE- AND TWO-DIMENSIONAL SIGNALS (E.G., RADAR AND ACOUSTIC WAVEFORMS, IMAGES); (B) THE SUPERIOR PROPERTIES OF THE LEARNING VECTOR QUANTIZATION AND SELF ORGANIZING FEATURE MAP ALGORITHMS AS LEARNING CLASSIFIERS; (C) THE KEY IDEA OF LINKING THE FEATURE EXTRACTOR (PREPROCESSOR) AND THE CLASSIFIER VIA FEEDBACK; (D) THE AVAILABILITY OF NEURAL AND PARALLEL DIGITAL MULTI-CHIP BOARDS FOR HARDWARE IMPLEMENTATIONS. ANTICIPATED BENEFITS: - COMPRESSION OF HIGH RESOLUTION RADAR RETURNS. - GROUND VEHICLE ACOUSTIC SIGNATURE DETECTION. - EARLY FAULT AND DAMAGE DETECTION IN MACHINERY. - SENSOR FUSION. - IMPROVED OPTICAL CHARACTER RECOGNITION. - RECOGNITION OF INDUSTRIAL OBJECTS IN MANUFACTURING.

Principal Investigator:

David Macenany
3014685542

Business Contact:

Small Business Information at Submission:

Aims, Inc.
6159 Executive Blvd. Rockville, MD 20852

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