Advanced Algorithms for Exploitation of Space-Based Imagery

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA8718-05-C-0041
Agency Tracking Number: F051-014-1883
Amount: $99,975.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-014
Solicitation Number: 2005.1
Small Business Information
20 New England Business Center, Andover, MA, 01810
DUNS: 073800062
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Christopher Gittins
 Principal Research Scientist
 (978) 689-0003
Business Contact
 B. Green
Title: President, PSI R&D Operations
Phone: (978) 689-0003
Research Institution
Physical Sciences Inc. and its subcontractor, SAIC-Boulder, propose to implement and evaluate two novel pattern recognition methods to mitigate cluster noise and enhance the contrast between targets and backgrounds in an automatic target recognition (ATR) applications. The proposed methods are relevant to subpixel target detection using hyperspectral data and are compatible with real-time implementation on airborne and spaceborne operating platforms. Our approach is to integrate a statistically-robust blind source separation algorithm for spectral signature recognition with a Bayesian Evidential Reasoning framework to enable context-based false alarm mitigation. The Bayes net will be used to reduce false rate by evaluating the spectral characteristics of the region surrounding the potential target detect. The proposed spectral pattern recognition approach is robust with respect to the form of clutter noise in the data, i.e., non-Gaussian noise statistics, and will enable modeling of Receiver Operating Characteristic (ROC) curves for any user-specified clutter noise distribution. The Phase I program will involve benchmark testing of the proposed methods using real and synthetic data sets and will enable recommendation of an ATR approach to be implemented in hardware in Phase II.

* information listed above is at the time of submission.

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