Enhance Visual Target Detection Using Nonlinear Stochastic Resonance Technique

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-05-C-0148
Agency Tracking Number: F054-021-0008
Amount: $100,000.00
Phase: Phase I
Program: STTR
Awards Year: 2005
Solicitation Year: 2005
Solicitation Topic Code: AF05-T021
Solicitation Number: N/A
Small Business Information
1953, 68th Street, Brooklyn, NY, 11204
DUNS: 190577200
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Zhong-Ping Jiang
 Associate Professor
 (718) 260-3646
 zjiang@control.poly.edu
Business Contact
 Xiaoming Zhuang
Title: President
Phone: (718) 232-9243
Email: xm_zhuang@yahoo.com
Research Institution
 POLYTECHNIC UNIV. OF NEW YORK
 Zhong-Ping Jiang
 ECE Department, Polytechnic University
Brooklyn, NY, 11201
 (718) 260-3646
 Nonprofit college or university
Abstract
Techniques to detect and identify the interested target burying in cluttered background and noise have been widely needed in both military and civilian applications. The enhancement of the target detectability is a critical factor in improving the performance of detectors. The team of Applied SR Technologies, Inc. and the Polytechnic University at Brooklyn, New York is exploring new interdisciplinary methods to address this important issue. Our proposed research focuses on the development of mathematical sound approaches to enhance visual target detection using techniques from nonlinear stochastic resonance, optimization and advanced control theory. The proposed numerical algorithms will be aimed at enhancing signal-to-noise ratios for improved visual target detection. In addition, the algorithms will be implemented and tested on standard image files.

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

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