Mr. Glenn S. Baker Profile

Glenn S. Baker

SPIE Involvement:

Author

Publications (3)

Proceedings Article | 26 August 2008 Paper

Microbolometer sensor model for performance predictions and real-time image generation of infrared scenes and targets

Robert Richwine, Yash Puri, Ashok Sood, Raymond Balcerak, Stuart Horn, Glenn Baker, Michael Wilson

Proceedings Volume 7055, 70550T (2008) https://doi.org/10.1117/12.801337

KEYWORDS: 3D modeling, Sensors, Minimum resolvable temperature difference, Bolometers, Performance modeling, Atmospheric modeling, Modulation transfer functions, Image sensors, Signal to noise ratio, Thermal modeling

Read Abstract +

Presented is a comprehensive, physics-based model for microbolometer detector and sensor performance prediction. The model combines equations found in the literature and various standard models that generate NETD, MRTD, 3-D noise statistics and atmosphere characteristics (MODTRAN-based), with a comprehensive microbolometer model and HgCdTe model developed by the author to provide an end-to-end detector/FPA/sensor analysis and design tool, as well as a realistic image sequence generation tool. The model characterizes the individual pixel element based on the structure used, the various layer thicknesses, the electrical and thermal characteristics of the bolometer material and the biasing and readout circuit, and uses these results to calculate response and noise, NEP and NETD. The NETD, MTF and MRTD are predicted from the optics, detector and readout. Predicted NETD has been compared and verified with values found in literature, results from other models, and to uncooled camera measurements. The MRTD prediction has been verified with camera measurements and with standard industry MRTD model outputs. The model also calculates atmospheric path radiance and transmittance for horizontal paths based on MODTRAN outputs for the LWIR band at altitudes from 0 to 10km and ranges from 1 to 50km for assessments of air-to-air engagement SNR's. The model in matlab utililizes a 3-D noise model to provide accurate realistic imagery used to present realistic sensor images and to further validate the NETD and MRTD routines.(1) Images at 30Hz and 60Hz have been generated for visual assessment by the user and have mirrored industry model results and real-time camera images for MRTD's for the temporal noise case. The model's 3-D noise generation feature allows the prediction of MRTD vs. frequency under any 3-D noise combination. This model provides an end-to-end performance prediction tool useful in bolometer element design, readout design and for system level trade studies.

Proceedings Article | 7 May 2007 Paper

Development and results of NIR polarization camera

Glenn Baker, Mike Wilson, Phil Coulter

Proceedings Volume 6567, 65671L (2007) https://doi.org/10.1117/12.720746

KEYWORDS: Cameras, Staring arrays, Polarization, Polarimetry, Polarizers, Indium gallium arsenide, Near infrared, Light scattering, Bidirectional reflectance transmission function, Wave plates

Read Abstract +

Proceedings Article | 1 May 1991 Paper

Optical and mechanical parameter detection of calcified plaque for laser angioplasty

Mark Stetz, Kenneth O'Brien, John Scott, Glenn Baker, Lawrence Deckelbaum

Proceedings Volume 1425, (1991) https://doi.org/10.1117/12.44017

KEYWORDS: Tissues, Acoustics, Blood, Plasma, Laser ablation, Laser tissue interaction, Pulsed laser operation, Arteries, Laser therapeutics, Tissue optics

Read Abstract +

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

Keywords/Phrases

Search In:

Publication Years