SYMBOLIC RF SIGNATURE PREDICTION

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$75,000.00
Award Year:
1987
Program:
SBIR
Phase:
Phase II
Contract:
n/a
Award Id:
3599
Agency Tracking Number:
3599
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
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
n/a
Principal Investigator:
Dr Daryl T Lawton
(415) 941-3912
Business Contact:
() -
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.

Agency Micro-sites


SBA logo

Department of Agriculture logo

Department of Commerce logo

Department of Defense logo

Department of Education logo

Department of Energy logo

Department of Health and Human Services logo

Department of Homeland Security logo

Department of Transportation logo

Enviromental Protection Agency logo

National Aeronautics and Space Administration logo

National Science Foundation logo
US Flag An Official Website of the United States Government