SBIR/STTR Research Award

Topological Data Analysis and Wide Area Detection of Chemical and Biological Contamination MP 39-10

Award identifier e967d1943ad51f9f6bd0464625c9f59803822dbccee89daf1f561d9cfbc2aeecAwarding agency Department of Defense · Army

Award amount

$99,972

Program and phase

STTR · Phase I

Award year

2010

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
METRON INCORPORATED
Proposal award date
2010-09-27
Contract end date
2011-03-31
UEI
EN78W198KUG7
Solicitation number
2010.A
Topic code
A10A-T020

Research abstract

Metron, Inc. and Stanford University propose to design, develop, test and demonstrate topological data analytic algorithms to analyze hyperspectral imagery. We propose to adapt the topological data analytic techniques, including Stanford’s successful Mapper algorithm, to the hyperspectral imagery domain. Using these algorithms we will identify topological and geometric features and properties indicative of chemical and biological contamination. We will leverage Metron’s expertise in Bayesian filters to produce preliminary detection and classification results using the extracted features and properties.

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.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

194 SBIR/STTR records share this UEI (1988–2025). Reported award amounts total $79,536,370. Reported amounts are not federal obligations.

Phases: Phase I, Phase II, Phase II – Direct to Phase II

Agencies: Department of Defense, National Aeronautics and Space Administration, Department of Commerce, Department of Health and Human Services

Agency intelligence

Department of Defense

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