Physics of Automatic Target Recognition: 3 (Advanced Sciences and Technologies for Security Applications, 3) - Hardcover

Hardcover

ISBN 10: 038736742X ISBN 13: 9780387367422

Publisher: Springer, 2007

Synopsis

This book examines the roles of sensors, physics-based attributes, classification methods, and performance evaluation in automatic target recognition. It details target classification from small mine-like objects to large tactical vehicles. Also explored in the book are invariants of sensor and transmission transformations, which are crucial in the development of low latency and computationally manageable automatic target recognition systems.

About this title

Synopsis

"The Physics of Automatic Target Recognition" is part of a series focusing on "Advanced Sciences and Technologies for Security Applications". This book will address the fundamental physical bases of sensing, and information extraction in the state-of-the art automatic target recognition field. We will explore both passive and active multispectral sensing, polarimetric diversity, complex signature exploitation, sensor and processing adaptation, transformation of electromagnetic and acoustic waves in their interactions with targets, background clutter, transmission media, and sensing elements. The general inverse scattering, and advanced signal processing techniques and scientific evaluation methodologies being used in this multi disciplinary field will be part of this exposition. The issues of modeling of target signatures in various spectral modalities, LADAR, IR, SAR, high resolution radar, acoustic, seismic, visible, hyperspectral, in diverse geometric aspects will be addressed. The problem of clutter modeling from a physics point of view will be also explored.

The methods for signal processing and classification will cover concepts such as sensor adaptive and artificial neural networks, time reversal filter. The issue of invariants of sensor and transmission transformations (geometrical, spectral and polarimetric invariants) will be explored. These invariants are crucial in the development of low latency and computationally manageable ATR systems. The book will address the issue of transformations that a signal goes through in its interactions with targets and background, in its passage through a medium and its final reception by a sensor. It is only through understanding these transformations that one can hope in addressing the inverse problem: the identification of originating sources of a signal (target recognition).

"Advanced Sciences and Technologies for Security Applications" focuses on research monographs in the areas such as: recognition and identification (including optical imaging, biometrics, authentication, verification, and smart surveillance systems); biological and chemical threat detection (including biosensors, aerosols, materials detection and forensics); and secure information systems (including encryption, and optical and photonic systems). The series is intended to give an overview at the highest research level at the frontier of research in the physical sciences.

From the Back Cover

Physics of Automatic Target Recognition addresses the fundamental physical bases of sensing, and information extraction in the state-of-the art automatic target recognition field. It explores both passive and active multispectral sensing, polarimetric diversity, complex signature exploitation, sensor and processing adaptation, transformation of electromagnetic and acoustic waves in their interactions with targets, background clutter, transmission media, and sensing elements. The general inverse scattering, and advanced signal processing techniques and scientific evaluation methodologies being used in this multi disciplinary field will be part of this exposition. The issues of modeling of target signatures in various spectral modalities, LADAR, IR, SAR, high resolution radar, acoustic, seismic, visible, hyperspectral, in diverse geometric aspects will be addressed. The methods for signal processing and classification will cover concepts such as sensor adaptive and artificial neural networks, time reversal filter. The issue of invariants of sensor and transmission transformations (geometrical, spectral and polarimetric invariants) will be explored. These invariants are crucial in the development of low latency and computationally manageable ATR systems.

The book addresses the issue of transformations that a signal goes through in its interactions with targets and background, in its passage through a medium and its final reception by a sensor. Only through understands of these transformations one can hope in addressing the inverse problem: the identification of originating sources of a signal (target recognition).

The book presents recent advances from internationally known leaders of industry, government, and academia in the field of optical and photonic sensors, systems and devices for sensing, imaging, detection, identification, recognition, prevention, verification and authentication.

Edition details

• Publisher: Springer
• Publication date: 2007
• ISBN 10: 038736742X
• ISBN 13: 9780387367422
• Binding: Hardcover
• Language: English
• Number of pages: 262
• Editor: Sadjadi Firooz, Javidi Bahram