SBIR/STTR Research Award

Imagery Automatic Extraction and Placement System

Award identifier 637ec209f2ddd8dec253914f6bd6fd22070f599d88229d475fa53116cd78fe98Awarding agency Department of Defense · Navy

Award amount

$69,778

Program and phase

SBIR · Phase I

Award year

2003

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Award details

Awarding agency
Department of Defense
Branch
Navy
Recipient company
AMERICAN GNC CORP
Proposal award date
Not reported
Contract end date
Not reported
UEI
YX5GJQB44DA5
Solicitation number
Not reported
Topic code
Not reported

Research abstract

The objective of this project is to develop an imagery automatic extraction and placement system to retrieve and accurately position cultural features on geo-specific terrain. Feature extraction includes noise edge elimination by Gabor filter, edgeextraction, polygon simplification by the Hough Transform, and corner extraction. The innovative approach is to utilize Memetic algorithms to group the separate features from stereo pairs in order to recognize and measure cultural feature dimensions andplace cultural feature of correct dimensions and texture in terrain databases. Current high-speed digital signal processing (DSP) provides the opportunity for complex image processing and algorithm implementation. The Memetic algorithm presents thestatistical confidence of the results. The image-processing tool can be applied to medical diagnosis, automatic image-to map-registration, geodesy and environment monitoring.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Research funding history

177 SBIR/STTR records share this UEI (1990–2025). Reported award amounts total $36,451,860. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, National Science Foundation

Agency intelligence

Department of Defense

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