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THE USE OF NEURAL NETWORKS FOR TARGET IDENTIFICATION

Award Information

Agency:
Department of Defense
Branch:
Air Force
Award ID:
8354
Program Year/Program:
1988 / SBIR
Agency Tracking Number:
8354
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
ATLANTIC AEROSPACE ELECTRONICS CORP.
6404 Ivy Lane, Suite 300 Greenbelt, MD 20770
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1988
Title: THE USE OF NEURAL NETWORKS FOR TARGET IDENTIFICATION
Agency / Branch: DOD / USAF
Contract: N/A
Award Amount: $50,000.00
 

Abstract:

A RECENT SURVEY OF NEURAL NETWORK TECHNOLOGY BY ATLANTIC AEROSPACE PERSONNEL HAS IDENTIFIED THE NECESSITY OF USING A NUMBER OF NETWORK LAYERS TO ADDRESS TYPICAL PROBLEMS IN TARGET IDENTIFICATION. IN ADDITION TO UPDATING THIS SURVEY, THIS EFFORT WILL DEVELOP AND DEMONSTRATE A NEURAL NETWORK APPROACH TO TARGET RECOGNITION BASED ON A NEW CLASS OF DISTRIBUTED, ITERATIVE IMAGE OPERATORS MODELED AFTER THE PHYSIOLOGY OF HUMAN VISION, WHICH WILL COMBINE PORTIONS OF THE LOW AND MEDIUM LEVEL VISION TASKS INTO A SINGLE INTEGRAL NETWORK. THE GOAL FOR THIS RESEARCH IS TO DEVELOP AND EVALUATE A NEURAL NETWORK PARADIGM BY WHICH AN INITIAL SET OF SINGULARITIES IN THE VISUAL FIELD (JETS) DERIVED DIRECTLY FROM THE IMAGE DATA, IS REFINED TO BEST MATCH PRESCRIBED VISUAL AND GEOMETRIC CONSTRAINTS, VIA AN ITERATIVE NETWORK RELAXATION TECHNIQUE. THIS OPERATION WILL HAVE THE EFFECT OF EXTRACTING VISUALLY SIGNIFICANT FEATURES FROM IMAGERY AND INHERENTLY GROUPING THEM IN A MANNER NORMALLY ACHIEVED BY POST PROCESSING TECHNIQUES. WE BELIEVE THAT THIS APPROACH IS UNIQUE AND ADDRESSES A PRIMARY NEED IN THE APPLICATION OF NEURAL NETWORK TECHNOLOGY TO IMAGE ANALYSIS IDENTIFIED IN OUR PREVIOUS SURVEY, I.E., THE SELECTION OF APPROPRIATE IMAGE FEATURES TO SUPPORT TECOGNITION OBJECTIVES. WHILE THE PROPOSED TECHNIQUE IS EXPECTED TO RESULT IN FEWER NETWORK LAYERS FOR LOW AND MEDIUM LEVEL VISION TASKS, IT WILL STILL BE NECESSARY TO PROVIDE ADDITIONAL PROCESSING TO SUPPORT HIGHER LEVEL FUNCTIONS SUCH AS TARGET IDENTIFICATION. ACCORDINGLY, THE UPDATED NEURAL NETWORK SURVEY WILL SPECIALLY EMPHASIZE THOSE NETWORK PARADIGMS THAT ARE APPROPRIATE TO HIGH LEVEL VISION PROCESSING TASKS.

Principal Investigator:

Richard ferrante
6178904200

Business Contact:

Small Business Information at Submission:

Atlantic Aerospace Electronics
6404 Ivy Ln - Ste 300 Greenbelt, MD 20770

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