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SAR-Based Automatic Target Recognition Avionics System

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: N/A
Agency Tracking Number: 26007
Amount: $749,949.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1996
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
508 Dale Ave.
Charlottesville, VA 22903
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Kieth C. Drake
 (840) 977-0686
Business Contact
Phone: () -
Research Institution
N/A
Abstract

Intelligent processing of battelfield sensor data and other information provides substantial force-multiplying benefits. The timely and cost-effective leveraging of information provides a signficant advantage over adversaries not possessing comparable information processing capabilties. Among these is automatic target recognition (ATR). Under previous and current Federal funding, AbTech has developed an innovative, robust, and effective approach to automatic target recognition The approach combines the numeric processing capabilities of abductive polynomial networks with the symbolic processing power of expert systems. The result is an ATR system that intelligently processes multi-spectral imagery (i.e., laser radar, FLIR) and non-sensor information (e.g., intelligence, mission objectives) to provide a wide range of target assessment information including detection, classification, and identification. While this sytem has been developed using actual military sensor imagery, it currently operates in an engineering environment. Issues concerning its implementation on actual avionics processors have not been addressed. Therefore, ADEPT, a VHDL-based approach for determining the actual processing requirements for informatin processing algorithms, will be used to determine the implementation feasibility of the ATR system. Also, the applicability of the ASAAT methodology for synthetic aperture radar (SAR) imagery has not been considered. A complementary objective of this effort is to identify the dual-use and commercial potential for ASAAT technology.

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

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