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Innovative Concepts for Automated Target Recognition Using Artificial Neural Networks

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: N/A
Agency Tracking Number: 28650
Amount: $66,642.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Timeline
Solicitation Year: N/A
Award Year: 1995
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
3125 W. 6th Street, Suite C
Lawrence, KS 66049
United States
DUNS: N/A
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Swapan Chakrabarti
 (913) 841-9823
Business Contact
Phone: () -
Research Institution
N/A
Abstract

The need for an automated target recognition system that can identify a target from a noisy image, irrespective of the target's orientation or size is identified. A novel pulse-coupled neural network is proposed to meet this need. The first step is to capture the image. Next, a neural network is used to determine whether an object of interest exists in the image. Next, another neural network determines the class to which the object belongs. Finally, a third neural netwrok identifies the image within that class. In addition, a system to integrate the developed software for each stage will also be implemented. A work plan and a schedule for Phase I is presented and the expected results are detailed. A general outline of Phase II work is also presented. ANTICIPATED BENEFITS: Development of underground and underwater resource identification systems based on ANNs and fuzzy logic, machine vision for automated manufacturing environments, image analysis systems for the medical fields (CAT-Scans, MRI, X-Rays), ANN-based image analysis methods for law enforcement agencies (finger print analysis, hand-print analysis, DNA analysis).

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

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