COURSE # ROO-411

AUTOMATIC TARGET RECOGNITION:
PRINCIPLES, ALGORITHMS AND MODERN BATTLEFIELD APPLICATIONS


...comprehensive review of ATR principles, the state-of-the-art and modern battlefield applications...


The application of automatic target recognition (ATR) technology is a critical element of electronic warfare (EW), advanced avionics, smart weapons, and intelligence, surveillance, reconnaissance (ISR). The success of ATR technology in the Persian Gulf war, and its applications in unmanned robotic combat vehicles, has made its continued development a top priority within the DoD. This course reviews fundamental image- and signal- processing techniques applicable to ATR systems. It discusses ATR architectures and critical components and their applications in the visible domain, millimeter wave (MMW) radar, laser radar, synthetic aperture radar (SAR), and other sensors. Concepts in designing and implementing ATR algorithms are covered, including signal enhancement and restoration, target detection and segmentation, motion analysis and tracking, statistical and model-based recognition, and phenomenological modeling. Included in this discussion are multisensor and information fusion algorithms and ATR performance evaluation. The course describes in detail model-based ATR, adaptive systems, and applications of artificial intelligence (AI) and neural networks in ATR. Additional topics address the limitations of current generation technology and selected advanced concepts for next generation ATR systems. The course concludes with a discussion of hardware architectures and market trends.

Applications and benefits:

You will benefit by enhancing your understanding of the :

Who should attend:

This course introduces the principles, techniques and algorithms used in Automatic Target Recognition. The material covered should serve as an invaluable resource for managers, system analysts, engineers and designers engaged in the design or analysis of ATR systems for military or industrial applications. Business development and marketing personnel who need a primer in ATR technology will find it most informative. This course has no prerequisites; however, a background in engineering, science, or equivalent experience will be helpful.

Course Outline:


Text: Physics of Automatic Target Recognition, 2007, Firooz Sadjadi (Editor)& Bahram Javidi (Editor).



About the Instructor


Firooz Sadjadi is a Staff Research Scientist at Lockheed Martin Corporation where he is engaged in theoretical and experimental research related to Signal and Image Processing, Automatic Target Recognition, Target Tracking and Information Fusion. He is the current Chairman of the ATR Technical Working Group and has served as the Chairman of the annual ATR Conference for the past 16 years. Dr. Sadjadi has authored more than 150 publications, holds 8 US and International Patents and is the editor of several books: Automatic Target Recognition Systems (2000), Sensor and Data Fusion (1996), Performance Evaluations of Signal and Image Processing Systems (1993), and The Physics of Automatic Target Recognition (2007).

Dr. Sadjadi received a BSEE from Purdue University in 1972, MSEE in 1974, and DEE in 1976 from the University of Southern California. He is a Fellow of the International Society for Optical Engineering (SPIE).


Details:
Course: ROO-411        Duration: 3 Days        FEE: $1,499        CEUs: 2.16




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Last modified January 16, 2013.