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Polarimetric Modeling and Visualization

Award Information
Agency: Department of Defense
Branch: Army
Contract: W909MY-21-P-0010
Agency Tracking Number: A202-121-0486
Amount: $111,456.57
Phase: Phase I
Program: SBIR
Solicitation Topic Code: A20-121
Solicitation Number: 20.2
Solicitation Year: 2020
Award Year: 2021
Award Start Date (Proposal Award Date): 2020-11-02
Award End Date (Contract End Date): 2021-07-12
Small Business Information
200 Westside Square Suite 320
Huntsville, AL 35801-4875
United States
DUNS: 129074840
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Larry Pezzaniti
 (256) 562-0087
Business Contact
 David Chenault
Phone: (256) 562-0087
Research Institution

Detection, Recognition and Identification (DRI) of man-made objects in terrestrial and sky backgrounds is often improved with polarization imaging.  The polarization signatures of objects depend on several factors including the optical properties, shape and surface characteristics of the scene elements, the sensor look angle, the relative position of illumination sources, and wavelength sensitivity of the imager. Predictive models are needed to help researchers understand the physics behind the polarization signatures of objects, and to provide metrics that predict how DRI algorithms will perform with polarization imagery of various targets, backgrounds and environmental conditions.  In this SBIR, Polaris Sensor Technologies proposes to develop a reflective band Polarization Signature Model (PSIM) for the Visible waveband in Phase I, extending to the SWIR band in Phase II.  PSIM will be a hybrid empirical/analytical model that predicts polarization signatures of objects based on the modeled/measured incident polarization and the polarization altering properties of the object.  The polarization altering properties of the object will be modeled with the Mueller calculus for objects that display diattenuation, retardance and depolarization.

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

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