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Acousto-Optic Tunable Filter-Based Polarimetric Spectral Sensor With Progressive Algorithm For Material Analysis and Mapping

Award Information
Agency: National Aeronautics and Space Administration
Branch: N/A
Contract: NNX15CL29C
Agency Tracking Number: 140063
Amount: $999,495.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: T8.01
Solicitation Number: N/A
Timeline
Solicitation Year: 2014
Award Year: 2015
Award Start Date (Proposal Award Date): 2015-05-15
Award End Date (Contract End Date): 2018-04-10
Small Business Information
P.O. Box 616, 19 Loveton Circle
Sparks, MD 21152-9201
United States
DUNS: 808275890
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Sudhir Trivedi
 Dir. R&D Div/Prin.Scientist
 (410) 472-2600
 strivedi@brimrosetechnology.com
Business Contact
 Diane Murray
Title: Business Official
Phone: (936) 588-6901
Email: dmurray@brimrosetechnology.com
Research Institution
 University Of Maryland Baltimore County
 Chein-I Chang
 
1000 Hilltop Circle
Baltimore, MD 21250-0001
United States

 (410) 455-6583
 Domestic Nonprofit Research Organization
Abstract

One of the strategic goals of NASA's Planetary Science Mission is to advance scientific knowledge of the origin and history of the solar system, the potential for life elsewhere. The current STTR addresses this strategic goal. The proto-type AOTF-based SWIR spectropolarimetric imaging system developed in Phase I (which will be further optimized and integrated with optimal algorithm/software in Phase II), will be a useful tool in determination of chemical composition and physical characteristics of planets of interest, short period comets, primitive meteorites and asteroid bodies, and in identifying the sources of simple chemicals important to prebiotic evolution and the emergence of life. The concept and proto-type instrument developed in this program operates as a hyper-spectral imager as well as a spectropolarimeter. It is capable of obtaining hyperspectral images and the polarization state at the pixel level. It is compact, rugged in nature, fully electronically controlled and has no moving parts. The images can be taken at any desired wavelength/s within the operational range, in any sequence. Hyperspectral data cubes will be collected using aforementioned systems. Before processing the spectral information in the data, system non-uniformity correction, spectral response correction, and atmospheric correction will be applied to the data.

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

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