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MicroLens Hyperspectral Imager for Standoff Chemical Detection

Award Information
Agency: Department of Defense
Branch: Office for Chemical and Biological Defense
Contract: W911SR-18-C-0002
Agency Tracking Number: C171-002-0010
Amount: $149,944.23
Phase: Phase I
Program: SBIR
Solicitation Topic Code: CBD171-002
Solicitation Number: 2017.1
Solicitation Year: 2017
Award Year: 2018
Award Start Date (Proposal Award Date): 2017-12-22
Award End Date (Contract End Date): 2018-06-22
Small Business Information
11555 Rancho Bernardo Road
San Diego, CA 92127
United States
DUNS: 064390719
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mark Dombrowski
 (858) 675-7404
Business Contact
 Jonathan Dummer
Phone: (858) 675-2028
Research Institution

A program to develop a compact, MLA-based, LWIR hyperspectral imager is proposed. The proposed Hyperspectral Chemical Imaging Sensor(HyCIS) builds upon Surface Optics real-time hyperspectral imaging activities, including our 3D full-motion video spectral imaging (FMV-SI)technology and our MIDIS hyperspectral image processor. Simultaneously sampling 16 or more spectral bands from 8 um to 12 um (MWIR willalso be investigated) over a full two-dimensional field, the system is ideal for identifying and tracking chemicals of interest to modern warfare.Through a series of trade studies and preliminary design, the proposed program will develop and analyze an optimized design for a compactinfrared full-motion video spectral imager appropriate for battery-operated hand-held and small UAS applications; the system will include acompact, rugged, real-time spectral imager plus the real-time hyperspectral (HS) data processor. The proposed effort represents an extensionof Surface Optics 25 years experience in hyperspectral imager design, and miniaturization of SOCs patented real-time hyperspectral imageprocessor for real-time hyperspectral discrimination. By building on Surface Optics Corporations experience in hyperspectral imaging systemdevelopment, sensor development, and algorithm development, the proposed program will produce a new full-motion video LWIRhyperspectral chemical imaging sensor of unsurpassed capability.

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

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