SYMBOLIC RF SIGNATURE PREDICTION

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 3599
Amount: $75,000.00
Phase: Phase II
Program: SBIR
Awards Year: 1987
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
201 San Antonio Cir - Ste 286, Mountain View, CA, 94040
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Dr Daryl T Lawton
 (415) 941-3912
Business Contact
Phone: () -
Research Institution
N/A
Abstract
THIS EFFORT WILL ASSESS THE TECHNICAL STATE OF THE ART FOR MODELBASED VISION APPROACHES TO ANALYZING RADAR AND OTHER ACTIVE SENSOR IMAGERY. MODEL-BASED APPROACHES RELY HEAVILY ON USING SEMANTIC MODELS TO PREDICT IMAGE OBJECTS AND FEATURES IN A MANNER THAT FACILITATES RECOGNITION OF THE OBJECT IN THE IMAGE. TO DATE, RESEARCH IN THIS AREA HAS FOCUSED PREDOMINATELY ON OPTICAL IMAGERY. THE STUDY WILL DEVELOP A RESEARCH PLAN DESCRIBING AN APPROACH TO BRING MODELBASED VISION TECHNIQUES FOR RADAR IMAGE ANALYSIS TO FRUITION. THIS WILL BE ACCOMPLISHED BY REVIEWING RELEVANT TECHNOLOGY, CREATING A BIBLIOGRAPHY OF APPLICABLE RESEARCH, DEFINING KEY TAXONOMIES AND CHARACTERISTICS OF THE TECHNICAL ISSUES, AND IDENTIFYING STRENGTHS AND WEAKNESSES (OR GAPS) IN CURRENT CAPABILITIES. A KEY TASK IN ACCOMPLISHING THESE GOALS WILL BE THE ORGANIZATION OF A WORKSHOP ADDRESSING MODEL-BASED VISION FOR ACTIVE SENSORS WITH AN EMPHASIS ON PREDICTIVE AND MODEL REPRESENTATION.

* Information listed above is at the time of submission. *

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