Fiscal Year:
1993
Title:
TARGET RECOGNITION USING SPECTRAL/SPATIAL TECHNIQUES
Agency / Branch:
DOD / USAF
Contract:
N/A
Award Amount:
$496,968.00
Abstract:
THE EMERGENCE OF EO MULTISPECTRAL IMAGING TECHNOLGOY MOTIVATES EXLORATION OF POTENTIAL IMPROVEMENTS IN AUTOMATIC TARGET RECOGNITION (ATR) SYSTEM PERFORMANCE USING NOVEL SPECTRAL/SPATIAL TECHNIQUES. SUCHCONCEPTS OFFER A PROMISING COMBINATION OF COMPLEMENTARY TECHNIQUES, WITH THE SPECTRAL COMPONENET REDUCING CLUTTER AMBIGUITY FOR SPATIAL PROCESSING WHICH SIFTS HIGH-VALUE TARGETS FROM THOSE OF NON-INTEREST, E.G., TANK FROM TRUCK. THE SPECTRAL/SPATIAL ALGORITHM CONCEPTS PROPOSED BY AERODYNE INTEGRATE AND EXPLOIT MODEL-PREDICTED KNOWLEDGE USING MARKOV RANDOM FIELDS TO REPRESENT SPATIAL DEPENDENCIES OF PRODICTED TARGET SPECTRAL ATTRIBUTES. OUR CONCEIVED MODEL-BASED SPECTRAL DISCRIMINATION PROCESS, RESISTANT TO TARGET OCCLUSIONS (E.G., CAMOUFLAGE), PRODUCES APRE-CLASSIFIED SCENE. AMBIGUITIES WITH IN THIS PROCESSED SCENE ARE SIGNIFICANTLY REDUCED UTILIZING A DYNAMIC PROCESS WHICH EXPLOITS JOINTSPECTRAL AND SPATIAL CONTEXTUAL INFORMATION, RESTORING WEAK AND TOTALLY OCCLUDED TARGET PIXELS. FINALLY POSE AND SCALE-INVARIANT RECOGNITION IS ACHIEVED USING A MODEL-BASED CONTENT-ADDRESSABLE MEMORY. THE RESULTING ALOGRITHMIC STRUCTURE IS INHERENTLY PARALLEL, PROMISING COMPUTATIONAL FEASIBILITY VIA IMPLEMENTATION ON MASSIVLEY PARALLEL NEURAL NETWORKS. THE PHASE I INVESTIGATION WILL ASSESS THE EXTENT OF EXPLOITABLE SPECTRAL DIFFERENCES BETWEEN TARGETS OF INTEREST AND CLUTTER. A SURVEY OF EMERGING MULTISPECTRAL IMAGING CAPABILITY WILL BE COUPLED WITH FOCUSED ANALYSIS AND TESTING OF KEY DETAILS OF THE CONCEPT ALGORITHMS TO DETERMINE THE FEASIBILITY OF PHASE II ALOGRITHM IMPLEMENTATION.
Principal Investigator:
Frank J Iannarilli Jr
Principal Investigator
5086639500
Business Contact:
Small Business Information at Submission:
Aerodyne Research Inc.orporate
45 Manning Road Billerica, MA 01821
EIN/Tax ID:
DUNS:
N/A
Number of Employees:
N/A
Woman-Owned:
No
Minority-Owned:
No
HUBZone-Owned:
No