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Predictive Model for Imaging Underwater Objects through the Air-Sea Interface

Award Information

Department of Defense
Award ID:
Program Year/Program:
2013 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Arete Associates
1550 Crystal Drive Suite 703 Arlington, VA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2013
Title: Predictive Model for Imaging Underwater Objects through the Air-Sea Interface
Agency: DOD
Contract: N00014-13-M-0028
Award Amount: $79,920.00


The science of Mine Countermeasures (MCM) is a challenging and multidimensional problem that involves the detection and classification of sea mines both underwater and at the surface. In recent years, MCM has undergone dramatic advances in detector technology, computational power, and algorithmic maturity giving the potential for a"never-before-seen"capability to detect and classify sea mines. Essential to the continuing success for application of EO systems to the MCM problem is the ability to model targets in the marine environment to gain a better the understanding of target phenomenology. This will pave the way to better EO sensor designs and more robust detection and classification algorithms. Making high fidelity models and realistic simulations possible is the fundamental theory derived from numerous investigations into the details of radiative transfer within the ocean environment. Jerlov (1979), Gordo (1988), and Mobley (1993). However, McLean and Freeman (1996) extended these simple models to include wave effects of the ocean surface. Leveraging this research and well validated propagation models, Arete Associates will develop a robust, high-fidelity electro-optical radiative transfer model to predict the time-varying visibility of submerged objects.

Principal Investigator:

Bradley Walls
Program Manager
(520) 770-8629

Business Contact:

David Kane
Executive Vice President
(520) 571-8660
Small Business Information at Submission:

Arete Associates
P.O. Box 2607 Winnetka, CA -

EIN/Tax ID: 952954108
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No