Imaging for Detection and Identification / edited by Jim Byrnes.

Springer eBooks

MULTI-PERSPECTIVE IMAGING AND IMAGE INTERPRETATION -- RADAR IMAGING FOR COMBATTING TERRORISM -- OPTICAL SIGNATURES OF BURIED MINES -- CHEMICAL IMAGES OF LIQUIDS -- SEQUENTIAL DETECTION ESTIMATION AND NOISE CANCELATION -- IMAGE FUSION: A POWERFUL TOOL FOR OBJECT IDENTIFICATION -- NONLINEAR STATISTICAL SIGNAL PROCESSING: A PARTICLE FILTERING APPROACH -- POSSIBILITIES FOR QUANTUM INFORMATION PROCESSING -- MULTIFRACTAL ANALYSIS OF IMAGES: NEW CONNEXIONS BETWEEN ANALYSIS AND GEOMETRY -- CHARACTERIZATION AND CONSTRUCTION OF IDEAL WAVEFORMS -- IDENTIFICATION OF COMPLEX PROCESSES BASED ON ANALYSIS OF PHASE SPACE STRUCTURES -- TIME-RESOLVED LUMINESCENCE IMAGING AND APPLICATIONS -- SPECTRUM SLIDING ANALYSIS.

The fusion of basic ideas in mathematics, radar, sonar, biology, and chemistry with ongoing improvements in hardware and computation offers the promise of much more sophisticated and accurate detection and identification capabilities than currently exist. Coupled with the dramatic rise in the need for surveillance in innumerable aspects of our daily lives, brought about by hostile acts deemed unimaginable only a few short years ago, the time is ripe for image processing scientists in these usually diverse fields to join together in a concerted effort to combat the new brands of terrorism. We envisage the proposed ASI as one important step. To encompass the diverse nature of the subject this volume covers three broadly defined but interrelated areas: I. The mathematics and computer science of automatic detection and identification; II. Image processing techniques for radar and sonar; III. Detection of anomalies in biomedical and chemical images.

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