Cover image for Spectral Sensing Research for Surface and Air Monitoring in Chemical, Biological and Radiological Defense and Security Applications.
Spectral Sensing Research for Surface and Air Monitoring in Chemical, Biological and Radiological Defense and Security Applications.
Title:
Spectral Sensing Research for Surface and Air Monitoring in Chemical, Biological and Radiological Defense and Security Applications.
Author:
Theriault, Jean-Marc.
ISBN:
9789812835925
Personal Author:
Physical Description:
1 online resource (545 pages)
Series:
Selected Topics in Electronics and Systems ; v.49

Selected Topics in Electronics and Systems
Contents:
CONTENTS -- Foreword -- Surface Sensing & Monitoring Sessions -- Infrared Spectral Signatures: Creation of Reference Data for Vapors and Liquids S. Sharpe, T. Johnson, R. Sams, J. Hylden, J. Kleimeyer and B. Rowland -- 1. Introduction -- 2. Experiment -- 2.1. Data Acquisition parameters -- 2.2. Sample cell construction -- 2.3. Sample cell characterization -- 3. Sample analysis -- 4. Results -- 5. Conclusion -- 6. Acknowledgements -- 7. References -- Appendix A. Physical properties of CWAs -- Appendix B. Real and imaginary refractive indices of CWAs -- Passive Standoff Detection of Surface Contaminants: A Novel Approach by Differential Polarization FTIR Spectrometry J.-M. Thériault, H. Lavoie, E. Puckrin and F. Bouffard -- 1. Introduction -- 2. Surface Radiance Phenomenology -- 2.1. Modeling surface contaminant radiance: Unpolarized case -- 2.2. Modeling surface contaminant radiance: Polarized case -- 3. Standoff Sensor and Field Experiment -- 3.1. CATSI instrument -- 3.2. SURFCON field experiment -- 3.3. Example of results -- 4. Experimental and Modeling Study -- 5. Optimized Sensor Design for Differential FTIR Sensing -- 6. Conclusion -- References -- Background Contributions in Direct and Differential Fourier Transform LWIR Measurements: A Comparative Analysis F. Bou.ard and J.-M. Thériault -- 1. Introduction -- 2. Experimental Setup -- 3. Results -- 3.1. Clustering -- 3.2. Norm and spectral length -- 3.3. Covariance -- 3.4. Distribution of synthesis coefficients -- 3.5. Background suppression -- 4. Conclusion -- References -- Signal Processing of Multicomponent Raman Spectra of Particulate Matter J. Fochesatto and J. Sloan -- 1. Introduction -- 2. Experimental Setup -- 3. Peak and Noise signals Removal from Raman Spectra -- 3.1. Spike Removal in Raman Spectra -- 3.2. Noise Removal in Raman Spectra -- 4. Baseline Reduction in Raman Spectra.

4.1. Baseline Reduction based on Polynomial Fitting -- 5. Chemical Fingerprint Retrieval -- 5.1. Chemical composition of aerosols during Pacific 2001 and ALERT 2002 experiments -- 6. Discussion and Conclusions -- 7. Acknowledgements -- 8. References -- Signature and Signal Generation Aspects of Explosive Detection Using Terahertz Time-Domain Spectroscopy R. Osiander, M. J. Fitch, M. Leahy-Hoppa, Y. Dikmelik and J. B. Spicer -- 1. Introduction -- 2. THz Spectroscopy for Explosives Detection: Background Information -- 3. THz Time-domain Transmission Spectroscopy of Explosives -- 4. THz Time-Domain Reflection Spectroscopy -- 5. Wave scattering from granular materials -- 6. Conclusions -- 7. Acknowledgments -- References -- Novel Application of Passive Stando. Radiometry for the Measurement of Explosives E. Puckrin, J.-M. Thériault, H. Lavoie, D. Dubé and P. Brousseau -- 1. Introduction -- 2. Detection Principles and Phenomenology -- 3. Measurement Approach -- 3.1. Laboratory measurements -- 3.2. Field measurements -- 4. Results and Analysis -- 4.1. Laboratory measurements of diffuse reflectance -- 4.2. Simulation of the passive standoff detection of solid explosive materials -- 4.3. Effect of temperature contrast on passive standoff detection -- 4.4. Passive standoff measurement of solid explosive materials -- 5. Conclusions -- 6. Acknowledgments -- 7. References -- Detection and Classification of Organic and Organophosphorus Analytes on Soil from Re.ection-Absorption Spectroscopy T. A. Blake, P. L. Gassman and N. B. Gallagher -- 1. Introduction -- 2. Theory -- 2.1. Principal Components Analysis for Anomaly Detection -- 2.1.1. PCA Model -- 2.1.2. Detection Metrics -- 2.2. Spectral Preprocessing -- 2.3. Multivariate Curve Resolution for Estimation of Adsorbed Spectra -- 3. Experimental -- 3.1. Spectroscopic Measurements -- 3.2. Soils Studied.

3.3. Organic Compounds -- 3.4. Calibration and Test Sets -- 3.4.1. Quincy Soil Data Sets -- 3.4.2. League Soil Data Sets -- 4. Results -- 5. Conclusions -- 6. Acknowledgments -- 7. References -- Support Vector Classification of Land Cover and Benthic Habitat from Hyperspectral Images V. Manian and M. Velez-Reyes -- 1. Introduction -- 2. Wavelet Feature Based Support Vector Algorithm -- 3. Land Habitat Classification -- 3.1. Indian pines hyperspectral image -- 3.2. Hydice roof image -- 4. Benthic Habitat Classification -- 4.1. Aviris la parguera hyperspectral image -- 5. Discussion -- 6. Conclusions -- 7. Acknowledgment -- 8. References -- Some Effects of Image Segmentation on Subspace-Based and Covariance-Based Detection of Anomalous Sub-Pixel Materials C. Gittins, D. Konno, M. Hoke and A. Ratkowski -- 1. Introduction -- 2. Background and Technical Approach -- 2.1. Material detection algorithms: Subspace-GLRT and ACE -- 2.2. Source data and data segmentation -- 2.3. Data segmentation -- 3. Results: Detection Algorithm Performance Comparison -- 4. Conclusions -- 5. Acknowledgments -- 6. References -- Advanced Responsive Tactically-Effective Military Imaging Spectrometer (ARTEMIS) Design T. W. Cooley, R. B. Lockwood, T. M. Davis, R. M. Nadile, J. A. Gardner, P. S. Armstrong, Capt. A. M. Payton, Capt. S. D. Straight, Lt. W. C. Henry, T. G. Chrien, E. -- 1. Introduction -- 2. Technical Approach -- 2.1. Telescope -- 2.2. Imaging spectrometer -- 2.3. On-board health monitor -- 2.4. High resolution imager -- 2.5. System level performance -- 3. Technology Comparison -- 4. Conclusion -- References -- Eyesafe Active Imaging of Hard Targets: An Overview of Techniques Under Investigation by NVESD B. W. Schilling, S. R. Chinn, B. Thomas and T. J. Scholz -- 1. Introduction -- 2. Gated SWIR Imaging (2D Flash Imaging).

2.1. Theory of Operation and Experimental Setup -- 2.2. Gateable SWIR Camera -- 2.3. Laser Rangefinder/Illuminator -- 2.4. Field-Test Results and 3D Capability -- 3. Single-Pixel Scanning Laser Radar -- 3.1. Principle of Operation and Architecture -- 3.2. Results -- 3.3. Push-broom scanning laser radar -- 4. Flash 3D Imaging Focal Plane Array Systems -- 4.1. Functional Description of the ASC FPA -- 4.2. U. S. Army Interest in Flash Ladar -- 4.3. NVESD Flash Ladar Activity -- 4.4. Results -- 4.5. Future Activities -- 5. Conclusion -- References -- A High-Resolution 2D Imaging Laser Radar for Occluded Hard Target Viewing and Identification R. J. Grasso, J. C. Wikman, D. P. Drouin, G. F. Dippel and P. I. Egbert -- 1. Introduction to the Laser Gated Imaging Concept -- 2. System Design -- 3. BAE Systems Low Cost Targeting System -- 4. Experimental Results -- 5. Conclusions -- References -- Three Dimensional Flash Ladar Focal Planes and Time Dependent Imaging R. Stettner, H. Bailey and S. Silverman -- 1. Introduction and Instrument Description -- 2. Dynamic Data -- 3. Conclusions and Recommendations -- 4. References -- Detection of Invisible Bacilli Spores on Surfaces Using a Portable SERS-Based Analyzer S. Farquharson and F. E. Inscore -- 1. Introduction -- 2. Experimental -- 3. Results and Discussion -- 4. Conclusions -- 5. Acknowledgements -- References -- Detection and Differentiation of Spore and Vegetative Forms of Bacillus spp. Using Infrared Spectroscopic Methods D. St. Amant, M. Campbell, A. Beck, L. Williams, J. Minter, P. Collett, C. Zhu and A. Samuels -- 1. Introduction -- 2. Materials and Methods -- 2.1. Spectrometers -- 2.1.1. Bruker IFS 28/B FT-IR spectrometer -- 2.1.2. Digilab FTS7000 series FTIR equipped with a UMA 600 microscope -- 2.1.3. SensIR TravelIR® Hazmat Chemical Identifier -- 2.2. Bacillus species preparation.

2.3. Data analysis -- 3. Results -- 3.1. Infrared spectral results for Bacillus anthracis Sterne by instrument -- 3.2. Spectral Analysis -- 3.2.1. Bruker IFS 28/B FT-IR spectrometer -- 3.2.2. Digilab FTS7000 series FTIR equipped with a UMA 600 microscope -- 3.2.3. SensIR TravelIR® Hazmat Chemical Identifier -- 4. Discussion -- 5. Acknowledgements -- References -- Spectral Processing of Laser-Induced Fluorescence from Threatening Biological Aerosols P. Lahaie, J. R. Simard, J. Mcfee, S. Buteau, J. Ho, P. Mathieu, G. Roy and V. Larochelle -- 1. Introduction -- 2. Signal model -- 2.1. Variation in time of the mean -- 2.2. Variance variation in time -- 2.3. Brutal variation in signal -- 2.4. Comments on signal model -- 3. System design -- 3.1. Sequence of events -- 3.2. Background monitoring -- 4. Operation in simulation -- 4.1. Simulation system description -- 4.2. System parameters -- 4.3. Simulation with an introduced contaminant -- 4.4. Comments on simulation results -- 5. Conclusion -- References -- Standoff Determination of Bioaerosol Size Based on Double Scattering Measurement With MFOV Lidar -- Concept and Numerical Simulation G. Roy and L. R. Bissonnette -- 1. Introduction -- 2. Scattering Modelisation -- 2.1. Atmospheric aerosols -- 2.2. Rayleigh and aerosol scattering -- 2.3. Single scattering lidar return -- 2.4. Double scattering -- 3. Results -- 4. Conclusion -- References -- Detection and Identification of Toxic Chemical Vapors in an Open-Air Environment by a Differential Passive LWIR Stando. Technique H. Lavoie, E. Puckrin and J.-M. Thériault -- 1. Introduction -- 2. Detection method -- 2.1. The CATSI sensor -- 2.2. Experimental conditions -- 3. Experimental results -- 3.1. Instantaneous phosgene release -- 3.2. Chemical warfare agent (GB) release -- 4. Summary and conclusion -- 5. Acknowledgements -- 6. References.

A Pyramid-Based Block of Skewers for Pixel Purity Index for Endmember Extraction in Hyperspectral Imagery C.-I. Chang, M. Hsueh, W. Liu, C.-C. Wu, F. Chaudhry, G. Solyar and A. Plaza.
Abstract:
This book provides unique perspectives on the state of the art in multispectral/hyperspectral techniques for early-warning monitoring against chemical, biological and radiological (CB&R) contamination of both surface (e.g. land) and air (e.g. atmospheric) environments through the presentation of a comprehensive survey of the novel spectroscopic methodologies and technologies that are emerging to address the CB&R defense and security challenges of the future. The technical content in this book lends itself to the non-traditional requirements for point and stand-off detection that have evolved out of the US joint services programs over many years. In particular, the scientific and technological work presented seeks to enable hyperspectral-based sensing and monitoring that is in real time and in-line; low in cost and labor requirements; and easy to support, maintain and use in military and security-relevant scenarios. Sample Chapter(s). Foreword (68 KB). Chapter 1: Infrared Spectral Signatures: Creation of Reference Data for Vapors and Liquids (832 KB). Contents: The Hypertemporal-Hyperspectral Analysis Test Station - HYHATS (T Old et al.); Wavelength Selective Bolometer Design (S Han et al.); Multisensory Detection System for Damage Control and Situational Awareness (C P Minor et al.); Inexpensive Chemical Defense Network for a Fixed Site (J A Seeley et al.); Precision Measurement of Atmospheric Trace Constituents Using a Compact Fabry-Perot Radiometer (W S Heaps et al.); Background Characterization with a Scanned Fourier Transform Spectrometer ( A K Lazarevich et al.); Signal Processing Algorithms for Staring Single Pixel Hyperspectral Sensors (D Manolakis et al.); Estimating the Limit of Bio-Aerosol Detection with Passive Infrared Spectroscopy (A Ifarraguerri et al). Readership: Chemists, biologists, physicists and electronics experts.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
Added Author:
Electronic Access:
Click to View
Holds: Copies: