Dr. Victoria T. Franques Profile

Dr. Victoria T. Franques

Program Manager at Dept of Energy

SPIE Involvement:

Author

Proceedings Article | 26 March 1998 Paper

Wavelet-based embedded zerotree extension to color coding

Victoria Franques

Proceedings Volume 3391, (1998) https://doi.org/10.1117/12.304870

KEYWORDS: Image compression, Wavelets, Computer programming, Quantization, Reconstruction algorithms, RGB color model, Algorithm development, Image processing, Binary data, Colorimetry

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Proceedings Article | 28 July 1997 Paper

Wavelet-based rotationally invariant target classification

Victoria Franques, David Kerr

Proceedings Volume 3068, (1997) https://doi.org/10.1117/12.280791

KEYWORDS: Wavelets, Feature extraction, Image classification, Neural networks, Electronic filtering, Image filtering, Mirrors, Detection and tracking algorithms, Image processing, Wavelet transforms

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Proceedings Article | 7 June 1996 Paper

Wavelet-based zerotree coding of aerospace images

Victoria Franques, Vijay Jain

Proceedings Volume 2750, (1996) https://doi.org/10.1117/12.241985

KEYWORDS: Wavelets, Image compression, Electronic filtering, Aerospace engineering, Image filtering, Quantization, Linear filtering, Mirrors, Reconstruction algorithms, Picosecond phenomena

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Proceedings Article | 31 August 1993 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

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Proceedings Article | 13 August 1993 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: Sensors, Surface plasmons, Projection systems, Image sensors, Computer simulations, Signal processing, Missiles, Quantization, Interference (communication), Scene simulation

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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

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

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Showing 5 of 6 publications

Conference Committee Involvement (10)

Mathematics of Data/Image Pattern Coding, Compression, and Encryption with Applications XIV

21 August 2011 | San Diego, California, United States

Mathematics of Data/Image Pattern Recognition, Compression, and Encryption, with Applications XIII

3 August 2010 | San Diego, California, United States

Mathematics of Data/Image Pattern Recognition, Compression, and Encryption with Applications XI

12 August 2008 | San Diego, California, United States

Mathematics of Data/Image Pattern Recognition, Compression, Coding, and Encryption X, with Applications

26 August 2007 | San Diego, California, United States

Biometric Technology for Human Identification III

17 April 2006 | Orlando (Kissimmee), Florida, United States

Showing 5 of 10 Conference Committees

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