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Cooperative Deployment of Next Generation Chemical Standoff Sensors

Award Information
Agency: Department of Defense
Branch: Army
Contract: W911SR-10-C-0066
Agency Tracking Number: A10A-022-0241
Amount: $99,987.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A10A-T022
Solicitation Number: 2010.A
Solicitation Year: 2010
Award Year: 2010
Award Start Date (Proposal Award Date): 2010-09-09
Award End Date (Contract End Date): 2011-03-09
Small Business Information
114 Barnsley Road
Oxford, PA 19363
United States
DUNS: 004478699
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Larry Grim
 Principal Investigator
 (610) 932-7754
Business Contact
 Malissa Nicotera
Title: Contract Administrator
Phone: (610) 932-7754
Research Institution
 Temple University
 Dennis Silage
Office of Technology Transfer 1938 Liocouras Walk
Philadelphia, PA 19122
United States

 (215) 204-6761
 Nonprofit College or University

MESH, Inc. has developed a method to take data from multiple fixed site standoff sensors and generate concentration maps using either triangulation or tomography. The programs that MESH has developed will be modified to allow standoff from moving platforms to be used in the data merging process. A simulation suite of tools, also developed by MESH, will be used to set the requirements on the accuracy of the platform position and the pointing accuracy which will meet the goal of 30m grid resolution. Since the next generation standoff equipment will be hyperspectral imagers, using inputs from this type of equipment will be included in the simulation. Because hyperspectral imagers generate images of enormous size, as compared to single pixel standoff sensors like the JSLSCAD, techniques to compress the images without affecting the quality of the 3-D threat profiles will be investigated. The goal of this effort is to design and build a system capable of generating high quality 3-D threat images just using inputs from standoff sensors on moving platforms. These sensors will be a mixture of hyperspectral and single pixel standoff passive infrared sensors.

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

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