Dr. Breck A. Sieglinger Profile

Dr. Breck A. Sieglinger

Engineer/Consultant at MacAulay-Brown Inc

SPIE Involvement:

Author

Publications (23)

Proceedings Article | 11 May 2012 Paper

Paper

Design considerations for a high-temperature, high-dynamic range IRSP

Joe LaVeigne, Breck Sieglinger

Proceedings Volume 8356, 83560G (2012) https://doi.org/10.1117/12.922984

KEYWORDS: Nonuniformity corrections, Projection systems, High dynamic range imaging, Mid-IR, Temperature metrology, Optical resolution, Resistance, Infrared radiation, Light emitting diodes, Control systems

Read Abstract +

Proceedings Article | 24 April 2008 Paper

Paper

Polarization measurements made on LFRA and OASIS emitter arrays

Jon Geske, Kevin Sparkman, Jim Oleson, Joe Laveigne, Breck Sieglinger, Steve Marlow, Heard Lowry, James Burns

Proceedings Volume 6942, 69420L (2008) https://doi.org/10.1117/12.796421

KEYWORDS: Polarizers, Cameras, Polarization, Projection systems, Infrared radiation, Resistors, Thermography, Imaging arrays, Imaging systems, Infrared imaging

Read Abstract +

Proceedings Article | 16 May 2006 Paper

Paper

Procedures and recent results for two-color infrared projection

Breck Sieglinger, Steven Marlow, Richard Sisko, Rhoe Thompson

Proceedings Volume 6208, 62080Z (2006) https://doi.org/10.1117/12.669531

KEYWORDS: Projection systems, Calibration, Sensors, Distortion, Data modeling, Infrared radiation, Image processing, Quantum well infrared photodetectors, Polarization, Sensor calibration

Read Abstract +

Proceedings Article | 4 August 2004 Paper

Paper

Formalization and real-time implementation of spatial calibration for a projection system

Breck Sieglinger, David Flynn, W. Larry Herald, Rhoe Thompson

Proceedings Volume 5408, (2004) https://doi.org/10.1117/12.543061

KEYWORDS: Calibration, Projection systems, Sensors, Image processing, Image sensors, Distortion, Field programmable gate arrays, Point spread functions, Software development, Digital signal processing

Read Abstract +

Proceedings Article | 4 August 2004 Paper

Paper

Combined calibration and nonuniformity correction of a sensor for improved projector nonuniformity correction

Breck Sieglinger, David Flynn, R. Bryan Sisko, George Goldsmith, Rhoe Thompson, William Meshell, James Norman

Proceedings Volume 5408, (2004) https://doi.org/10.1117/12.543063

KEYWORDS: Sensors, Image processing, Nonuniformity corrections, Black bodies, Calibration, Projection systems, Data modeling, Sensor calibration, Time metrology, Infrared sensors

Read Abstract +

Proceedings Article | 12 September 2003 Paper

Paper

Radiometrically calibrating spectrally coupled two-color projectors

David Flynn, Richard Sisko, Breck Sieglinger, Rhoe Thompson

Proceedings Volume 5092, (2003) https://doi.org/10.1117/12.488584

KEYWORDS: Projection systems, Calibration, Sensors, Medium wave, Resistors, Cameras, Quantum well infrared photodetectors, Spectral calibration, Infrared sensors, Black bodies

Read Abstract +

Proceedings Article | 12 September 2003 Paper

Paper

Array nonuniformity correction: new procedures designed for difficult measurement conditions

Breck Sieglinger, James Norman, William Meshell, David Flynn, Rhoe Thompson, George Goldsmith

Proceedings Volume 5092, (2003) https://doi.org/10.1117/12.488620

KEYWORDS: Nonuniformity corrections, Projection systems, Sensors, Cameras, Image processing, Image sensors, Cryogenics, Calibration, Infrared radiation, MATLAB

Read Abstract +

Proceedings Article | 12 September 2003 Paper

Paper

A sensitive method for detecting vibration in a scene projector test

Breck Sieglinger, David Flynn, Richard Sisko, Rhoe Thompson

Proceedings Volume 5092, (2003) https://doi.org/10.1117/12.488450

KEYWORDS: Projection systems, Sensors, Image analysis, Cameras, Motion analysis, Image processing, Mid-IR, Long wavelength infrared, Motion measurement, Infrared sensors

Read Abstract +

Proceedings Article | 12 September 2003 Paper

Paper

Studies of the spectral crosstalk in two-color IR projector systems

Richard Sisko, David Flynn, Breck Sieglinger, James Norman

Proceedings Volume 5092, (2003) https://doi.org/10.1117/12.488619

KEYWORDS: Cameras, Medium wave, Projection systems, Optical filters, Quantum well infrared photodetectors, Transmittance, Calibration, Infrared imaging, Analytical research, Mathematical modeling

Read Abstract +

Proceedings Article | 12 September 2003 Paper

Paper

An analysis of spatial distortion, calibration, and translation effects for a scene projector

Breck Sieglinger, David Flynn, George Goldsmith, Rhoe Thompson

Proceedings Volume 5092, (2003) https://doi.org/10.1117/12.488451

KEYWORDS: Projection systems, Distortion, Sensors, Calibration, Error analysis, Cameras, Image sensors, Long wavelength infrared, Mid-IR, Optical simulations

Read Abstract +

Proceedings Article | 12 July 2002 Paper

Paper

Correction of spatial distortions in a two-color infrared projection system

Wayne Keen, David Flynn, Thomas Bergin, Breck Sieglinger, Rhoe Thompson

Proceedings Volume 4717, (2002) https://doi.org/10.1117/12.474717

KEYWORDS: Infrared radiation, Projection systems, Cameras, Infrared imaging, Chemical elements, Infrared cameras, Electroluminescence, Visualization, Signal to noise ratio, Optical components

Read Abstract +

Proceedings Article | 12 July 2002 Paper

Paper

Parametric assessment of the impact of target scene projection on image processing results

Breck Sieglinger, David Flynn, Rhoe Thompson

Proceedings Volume 4717, (2002) https://doi.org/10.1117/12.474716

KEYWORDS: Sensors, Projection systems, Point spread functions, Signal to noise ratio, Detection and tracking algorithms, Computer simulations, Image processing, Image sensors, Error analysis, Sensor performance

Read Abstract +

Proceedings Article | 1 October 1998 Paper

Paper

Superresolution techniques with application to guided munitions

David Flynn, Breck Sieglinger, Bernard Asner, Martin Wehling, Sengvieng Amphay

Proceedings Volume 3460, (1998) https://doi.org/10.1117/12.323226

KEYWORDS: Image processing, Point spread functions, Sensors, Image resolution, Gold, Image sensors, Imaging systems, Super resolution, Image restoration, Passive millimeter wave sensors

Read Abstract +

Proceedings Article | 15 July 1997 Paper

Paper

Spatial and sampling analysis for a sensor viewing a pixelized projector

Breck Sieglinger, David Flynn, Charles Coker

Proceedings Volume 3084, (1997) https://doi.org/10.1117/12.280952

KEYWORDS: Image sensors, Imaging systems, Detection and tracking algorithms, Picosecond phenomena, Staring arrays, Spatial frequencies, Modulation transfer functions, Sensor performance, Projection systems, Sensors

Read Abstract +

Proceedings Article | 15 July 1997 Paper

Paper

Timing considerations for integrating a flickerless projector with an imaging sensor

David Flynn, Breck Sieglinger, Robert Lee Murrer, Lawrence Jones, Eric Olson, Allen Andrews, James Gordon

Proceedings Volume 3084, (1997) https://doi.org/10.1117/12.280943

KEYWORDS: Cameras, Projection systems, Device simulation, Resistors, Missiles, Infrared radiation, Imaging systems, Optical sensors, Sensors, Solids

Read Abstract +

Proceedings Article | 15 July 1997 Paper

Paper

Prefiltering synthetic images for projection in hardware-in-the-loop systems

David Flynn, Breck Sieglinger, Charles Coker

Proceedings Volume 3084, (1997) https://doi.org/10.1117/12.280961

KEYWORDS: Projection systems, Cameras, Sensors, Imaging systems, Imaging infrared seeker, Image processing, Target acquisition, Image filtering, Spatial resolution, Computer simulations

Read Abstract +

Proceedings Article | 24 May 1996 Paper

Paper

Formalism for analyzing spatial, spectral, and temporal effects in a hardware-in-the-loop system involving a pixelized projector and a passive imaging sensor

David Flynn, Breck Sieglinger

Proceedings Volume 2741, (1996) https://doi.org/10.1117/12.241129

KEYWORDS: Projection systems, Sensors, Cameras, Temporal resolution, Point spread functions, Spatial resolution, Spectral resolution, Diffraction, Optical sensors, Staring arrays

Read Abstract +

Proceedings Article | 24 May 1996 Paper

Paper

Hardware-in-the-loop simulation using direct signal injection

Breck Sieglinger, David Flynn, Charles Coker

Proceedings Volume 2741, (1996) https://doi.org/10.1117/12.241099

KEYWORDS: Sensors, Image sensors, Computer simulations, Signal processing, Interference (communication), Signal detection, Convolution, Image processing, Projection systems, Imaging systems

Read Abstract +

Proceedings Article | 2 June 1995 Paper

Paper

Analysis of errors associated with measurement of projector nonuniformity

Breck Sieglinger, David Flynn, Charles Coker

Proceedings Volume 2469, (1995) https://doi.org/10.1117/12.210632

KEYWORDS: Sensors, Projection systems, Error analysis, Nonuniformity corrections, Statistical analysis, Image sensors, Imaging systems, Diffraction, Computer simulations, Time metrology

Read Abstract +

Proceedings Article | 2 June 1995 Paper

Paper

Analysis of the effect of projector nonuniformity on the output of a sensor under test

Breck Sieglinger, David Flynn, Charles Coker

Proceedings Volume 2469, (1995) https://doi.org/10.1117/12.210623

KEYWORDS: Sensors, Projection systems, Signal to noise ratio, Interference (communication), Signal detection, Sensor performance, Error analysis, Signal processing, Staring arrays, Analytical research

Read Abstract +

Proceedings Article | 31 August 1993 Paper

Paper

Modular all-digital closed-loop simulation for analysis and simulation of strategic interceptors

Mark Finch, David Flynn, Breck Sieglinger, Victoria Franques

Proceedings Volume 1969, (1993) https://doi.org/10.1117/12.154725

KEYWORDS: Sensors, Image sensors, Missiles, Signal processing, Projection systems, Monte Carlo methods, Target detection, Computer simulations, Image processing, Detection and tracking algorithms

Read Abstract +

Proceedings Article | 13 August 1993 Paper

Paper

Simulation of a class of in-band scene projectors for evaluation of hardware-in-the-loop testing compatibility and performance

David Flynn, Mark Finch, Breck Sieglinger, Victoria Franques

Proceedings Volume 1967, (1993) https://doi.org/10.1117/12.151033

KEYWORDS: Missiles, Quantization, Interference (communication), Scene simulation, Signal processing, Computer simulations, Image sensors, Projection systems, Surface plasmons, Sensors

Read Abstract +

Hardware-in-the-loop (HWIL) testing can be used as an efficient and effective means for analyzing the performance of guided missile systems. Due to the limits of current technologies, components of the simulation are limited in their capability to simulate real-world conditions for certain test articles. One component which is critical in an HWIL system for strategic guided missiles is the scene projection or delivery device. To stimulate imaging JR sensors, this scene projector (SP) typically consists of a pixelized in-band source which can be modulated both spatially and temporally to simulate the radiane scene which would be observed during an actual engagement. The SP is driven by a scene generator which provides scene radiance information to the SP under control of a simulation computer, which determines the field-of-view (FOV) composition based on a simulated engagement. In using such a system, a primary concern is that the SP is able to create a scene which produces the proper response in the observing sensor. Another effect which bears examination is the SFs projection method, such as scanning an in-band source to cover the projection FOV. The detailed interaction between the modulated source and the timing of the sensor's detection, integration, and readout processes may cause unrealistic or unexpected sensor behavior. In order to assess the compatibility of a specific sensor viewing a specific SP, a detailed simulation has been developed by Nichols Research Corporation under the direction of the Guided Interceptor Technology Branch (WL/MNSI) of the USAF Wright Laboratory Armament Directorate. This simulation was designed primarily to address issues related to scene projector usage in the Kinetic Kill Vehicle Hardware in the Loop Simulator (KHILS) facility at Eglin AFB, Florida. The simulation allows the user to define: the spatial response of the sensor; the spatial properties of the SP (i.e. the radiance distribution arising from a commanded impulse); the illumination timing of the SP, such as scan format, persistence, etc.; and the integration and readout timing of the sensor. Given sampled values of these response functions, and sampled values of the desired radiance scene, the SP simulation computes the detector outputs in the form of a sensed image. This output image can help to assess the suitability of using the modeled SP for testing the modeled sensor by illustrating potential mismatches. It also provides a means to predict the performance to be expected from this module of the HWIL simulation for a particular test scenario. This paper derives equations which express the sensor output as a function of the input scene, the spatial and temporal response functions of the sensor and the SP, and the spectral response functions of the sensor and SP. Assumptions which affect the implementation and the generality of application are stated and discussed. Results and conclusions are presented for a specific application which illustrate the utility of the simulation

Proceedings Article | 16 September 1992 Paper

Paper

Sensor effects simulation for synthetic signature modeling using the strategic scene workstation

Breck Sieglinger, Mark Finch, Victoria Franques

Proceedings Volume 1689, (1992) https://doi.org/10.1117/12.137963

KEYWORDS: Sensors, Systems modeling, Imaging systems, Infrared signatures, Infrared imaging, Computer simulations, Photon counting, Thermal modeling, Image processing, Infrared sensors

Read Abstract +

Showing 5 of 23 publications

SIGN IN TO:

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Advertisement

Advertisement