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Optical and photonic systems and devices have significant potential for homeland security. "Optical Imaging Sensors and Systems for Homeland Security Applications" presents original and significant technical contributions from leaders of industry, government, and academia in the field of optical and photonic sensors, systems and devices for detection, identification, prevention, sensing, security, verification and anti-counterfeiting. The chapters have recent and technically significant results, ample illustrations, figures, and key references. This book is intended for engineers and scientists in the relevant fields, graduate students, industry managers, university professors, government managers, and policy makers.
List of contents
Active Optical 3D Sensing and 3D Imaging Systems for Homeland Security Applications.- 3D Object Reconstruction and Recognition Techniques Based on Digital Holography.- Compression of Encrypted Digital Holograms Using Artificial Neural Networks.- Digital Holography: Recent Advancements and Prospective Improvements for Applications in Microscopy.- Hybrid Optical Encryption of a 3D Object by Use of a Digital Holographic Technique.- 3D Object Recognition using Gabor Feature Extraction and PCA-FLD Projections of Holographically Sensed Data.- Distortion-tolerant 3D Volume Recognition Using X-ray Imaging.- 3D Imaging and Recognition of Microorganism Using Single-exposure Online (SEOL) Digital Holography.- Passive 3D Sensing and 3D Imaging Systems for Homeland Security.- Integral Imaging Applied to the Digital Reconstruction and Recognition of 3D Scenes.- Real-time Remote Identification and Verification of Objects Using Optical ID Tags.- Surveillance and Image Recognition Algorithms for Homeland Security Applications.- An Adaptive Technique for Minimizing Rate of Sensory Data Transmission in Unmanned Aerial Vehicles.- Information Processing Across Distributed and Netted Systems for Security and Surveillance.- Composite Correlation Filters and Neural Networks for Identification and Pose Estimation.- Evolutionary Sensor Fusion for Security.- The Use of Synthetic Data in Eye/Face Recognition.- Hyperspectral Target Detection Based on Kernels.- Detecting 3D Location and Shape of Distorted 3D Objects Using LADAR Trained Optimum Nonlinear Filters.- Optical Devices and Hardware for Homeland Security Applications.- Planar Microoptical Systems for Correlation and Security Applications.- Optical Waveguide-mode Resonant Biosensors.- Improved Optical Document Security Techniques Based on Volume Holography and Lippmann Photography.
Summary
Optical and photonic systems and devices have significant potential for homeland security. "Optical Imaging Sensors and Systems for Homeland Security Applications" presents original and significant technical contributions from leaders of industry, government, and academia in the field of optical and photonic sensors, systems and devices for detection, identification, prevention, sensing, security, verification and anti-counterfeiting. The chapters have recent and technically significant results, ample illustrations, figures, and key references. This book is intended for engineers and scientists in the relevant fields, graduate students, industry managers, university professors, government managers, and policy makers.
