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

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-10-P-0032
Agency Tracking Number: A10A-020-0280
Amount: $99,972.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A10A-T020
Solicitation Number: 2010.A
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-09-27
Award End Date (Contract End Date): 2011-03-31
Small Business Information
1818 Library Street Suite 600
Reston, VA 20190
United States
DUNS: 107939233
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Stephen Ahearn
 Sr. Analyst
 (703) 326-2830
Business Contact
 Eric George
Title: CFO
Phone: (703) 326-2838
Research Institution
 Stanford University
 Gary Podesta
320 Panama Street Bambi Modular
Stanford, CA 94305
United States

 (650) 724-6883
 Nonprofit College or University

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.

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

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