Dr. Philip D. Henshaw Profile

Dr. Philip D. Henshaw

Div. Manager at Parsons Corp

SPIE Involvement:

Author

Publications (18)

Proceedings Article | 25 October 2006 Paper

Real-time determination and suppression of bio-aerosol constituents

Philip Henshaw, Pierre Trepagnier

Proceedings Volume 6378, 637814 (2006) https://doi.org/10.1117/12.684756

KEYWORDS: Detection and tracking algorithms, Sensors, Luminescence, Algorithm development, Aerosols, Particles, Ultraviolet radiation, LIDAR, Signal detection, Atmospheric particles

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Proceedings Article | 17 October 2006 Paper

A fluorescent bio-aerosol point detector incorporating excitation, emission, and lifetime data

Pierre Trepagnier, Robert Dillon, Philip Henshaw, David McCampbell

Proceedings Volume 6377, 637708 (2006) https://doi.org/10.1117/12.684754

KEYWORDS: Luminescence, Sensors, Aerosols, Principal component analysis, Statistical analysis, Spectroscopy, Atmospheric particles, Voltage controlled current source, Optical analysis, Optical fibers

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Proceedings Article | 26 June 2003 Paper

Stage accuracy results using interferometers compensated for refractivity fluctuations

Philip Henshaw, Pierre Trepagnier, Robert Dillon, Wouter Pril, Bas Hultermans

Proceedings Volume 5040, (2003) https://doi.org/10.1117/12.485475

KEYWORDS: Interferometers, Semiconducting wafers, Turbulence, Sensors, Overlay metrology, Ultraviolet radiation, Receivers, Wafer testing, Beam splitters, Pulsed laser operation

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Proceedings Article | 7 July 1997 Paper

Real-time stage position measurement with nanometer-scale accuracy

Philip Henshaw, Donald DeGloria, Sandra Kelly, Robert Dillon

Proceedings Volume 3051, (1997) https://doi.org/10.1117/12.276047

KEYWORDS: Turbulence, Interferometers, Control systems, Semiconducting wafers, Lithography

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Proceedings Article | 7 June 1996 Paper

Stepper overlay performance measurements using the air-turbulence-compensated interferometer

Philip Henshaw

Proceedings Volume 2726, (1996) https://doi.org/10.1117/12.240942

KEYWORDS: Interferometers, Turbulence, Phase shift keying, Mirrors, Phase measurement, Semiconducting wafers, Beam splitters, Sensors, Signal detection, Overlay metrology

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Proceedings Article | 8 July 1994 Paper

Genetic algorithms for unconventional imaging

Philip Henshaw, Norman Guivens

Proceedings Volume 2241, (1994) https://doi.org/10.1117/12.179745

KEYWORDS: Genetic algorithms, Speckle pattern, Inverse optics, Fractal analysis, Image processing, Optical components, Imaging arrays, Coherence imaging, Phase retrieval, Fourier transforms

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Proceedings Article | 15 March 1994 Paper

Visual programming interface for optics, detector, and signal processor modeling

Philip Henshaw, Norman Guivens

Proceedings Volume 2065, (1994) https://doi.org/10.1117/12.169354

KEYWORDS: Systems modeling, Visualization, Human-machine interfaces, Computer programming, Visual process modeling, Signal processing, Sensors, Signal detection, Computing systems, Mathematical modeling

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Proceedings Article | 15 March 1994 Paper

Prototype model of optical detection systems

Norman Guivens, Philip Henshaw

Proceedings Volume 2065, (1994) https://doi.org/10.1117/12.169355

KEYWORDS: Systems modeling, Prototyping, Sensors, Mathematical modeling, Signal detection, Chemical elements, Signal processing, Image processing, Signal attenuation, Instrument modeling

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Proceedings Article | 9 November 1993 Paper

High-capacity content-addressable memory architecture

Philip Henshaw, Steven Lis

Proceedings Volume 2026, (1993) https://doi.org/10.1117/12.163600

KEYWORDS: Content addressable memory, Holograms, Holography, Detector arrays, Databases, Target recognition, Hough transforms, Volume holography, Phase shift keying, Hole burning spectroscopy

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Proceedings Article | 9 November 1993 Paper

Experimental demonstration of a 4D optical neural network

Philip Henshaw, Steven Lis, Michael Cheifetz

Proceedings Volume 2026, (1993) https://doi.org/10.1117/12.163592

KEYWORDS: Neural networks, LCDs, Computing systems, Cameras, Holography, Polymers, Tunable lasers, Hole burning spectroscopy, Holograms, Control systems

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Proceedings Article | 9 November 1993 Paper

Experimental demonstration of ultradense 4D holographic mass storage

Steven Lis, Philip Henshaw, Michael Cheifetz

Proceedings Volume 2026, (1993) https://doi.org/10.1117/12.163612

KEYWORDS: Holograms, Holography, Digital holography, Computing systems, Multiplexing, Data storage, Digital recording, Head, Optical storage, Resistance

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Proceedings Article | 9 November 1993 Paper

Holographic memory design tradeoffs and upper performance bounds

Philip Henshaw

Proceedings Volume 2026, (1993) https://doi.org/10.1117/12.163605

KEYWORDS: Holograms, Holography, Detector arrays, Optical design, Volume holography, Diffraction, Quantum efficiency, Data storage, Sensors, Neon

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Proceedings Article | 2 February 1993 Paper

Experimental implementation of an optical neural network scalable to very large size

Steven Lis, Philip Henshaw

Proceedings Volume 1773, (1993) https://doi.org/10.1117/12.983190

KEYWORDS: Neural networks, Spatial light modulators, Fractal analysis, Holograms, Holography, LCDs, Volume holography, Hole burning spectroscopy, Cameras, Electronics

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Proceedings Article | 1 June 1992 Paper

Comprehensive model of optical detection systems

Norman Guivens, Philip Henshaw

Proceedings Volume 1633, (1992) https://doi.org/10.1117/12.59230

KEYWORDS: Systems modeling, Sensors, Mathematical modeling, Computer simulations, Chemical elements, Signal processing, LIDAR, Image processing, Computing systems, Optical simulations

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Sensor simulation codes such as SPARTA''s optical sensor simulation (SENSORSIM) and the Defense Laser-Target Signatures (DELTAS) Code require a high fidelity computer model capable of simulating any type of detection system that might be employed in an optical sensor system. Detection system models for these codes must additionally satisfy sometimes conflicting needs of a diverse user community. Although current detection models in these codes are accurate and easy to use they are limited in the types of detection systems that they can simulate and lack the flexibility to incorporate new detection schemes that are still under development or that may be developed in the future. The authors are developing a comprehensive model of optical detection systems that can be integrated into signature simulation codes such as SENSORSIM and DELTAS. This model uses a radically different approach to simulate the performance of all existing and future detection systems. The model features a hierarchical structure that directly corresponds to the design of a detection system. The first (top) level of this hierarchy represents the overall detection system as an assembly of individual components the components are represented by the second level. Elements of some components such as image intensifier tubes may be represented by a third level. At the lowest level of the hierarchy which may vary from component to component a sequence of mathematical operations describes the behavior of each component or The model simulates a single instance of each random event using a cascaded noise model that is consistent with the philosophy of the SENSORSIM and DELTAS codes. Each detection system is defined by standard text files that follow an intuitive and efficient syntax corresponding to the hierarchy of the detection system model. This input structure allows components to be defined once and incorporated in many detection systems minimizing the library maintenance burden and also facilitates validation of detection system specifications. The specification files can also be transferred between computer systems electronically without special protocols or special conversion of embedded numerical data that would be required for binary files.

Proceedings Article | 1 June 1992 Paper

Performance metric for coherent active-imaging systems

Philip Henshaw, Norman Guivens

Proceedings Volume 1633, (1992) https://doi.org/10.1117/12.59231

KEYWORDS: Imaging systems, Signal to noise ratio, LIDAR, Point spread functions, Signal detection, Modulation transfer functions, Coherence imaging, Sensors, Visualization, Telecommunications

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Proceedings Article | 1 March 1992 Paper

Image processor development with synthetic images

Norman Guivens, Philip Henshaw

Proceedings Volume 1614, (1992) https://doi.org/10.1117/12.57978

KEYWORDS: Sensors, Image processing, Image sensors, Machine vision, Signal processing, Systems modeling, Reflectivity, Optical simulations, Visual process modeling, Receivers

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