Dr. Robert T. Pack Profile

Dr. Robert T. Pack

Research Associate Professor at Utah State Univ

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Publications (14)

Proceedings Article | 8 November 2012 Paper

An enhanced measure of mask quality using separated models

Anthony Adamov, Bob Pack, Kazuyuki Hagiwara, Ingo Bork, Jin Choi, Jissong Park, Byung-Gook Kim

Proceedings Volume 8522, 852207 (2012) https://doi.org/10.1117/12.964379

KEYWORDS: Photomasks, Semiconducting wafers, Critical dimension metrology, Monte Carlo methods, Quality measurement, Lithography, Optical proximity correction, Model-based design, Error analysis, Data modeling

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Proceedings Article | 8 November 2012 Paper

Improving CD uniformity using MB-MDP for 14nm node and beyond

Byung Kim, Jin Choi, Jisoong Park, Chan Jeon, Sterling Watson, Anthony Adamov, Bob Pack, Ingo Bork

Proceedings Volume 8522, 852205 (2012) https://doi.org/10.1117/12.966327

KEYWORDS: Photomasks, Semiconducting wafers, Monte Carlo methods, Data modeling, Critical dimension metrology, Backscatter, Model-based design, Modulation, SRAF, Lithography

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Proceedings Article | 18 October 2011 Paper

Estimating evapotranspiration of riparian vegetation using high resolution multispectral, thermal infrared and lidar data

Christopher Neale, Hatim Geli, Saleh Taghvaeian, Ashish Masih, Robert Pack, Ronald Simms, Michael Baker, Jeff Milliken, Scott O'Meara, Amy Witherall

Proceedings Volume 8174, 81740P (2011) https://doi.org/10.1117/12.903246

KEYWORDS: Vegetation, LIDAR, Thermography, Infrared radiation, Infrared imaging, Multispectral imaging, Remote sensing, Calibration, Image resolution, Imaging systems

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High resolution airborne multispectral and thermal infrared imagery was acquired over the Mojave River, California with the Utah State University airborne remote sensing system integrated with the LASSI imaging Lidar also built and operated at USU. The data were acquired in pre-established mapping blocks over a 2 day period covering approximately 144 Km of the Mojave River floodplain and riparian zone, approximately 1500 meters in width. The multispectral imagery (green, red and near-infrared bands) was ortho-rectified using the Lidar point cloud data through a direct geo-referencing technique. Thermal Infrared imagery was rectified to the multispectral ortho-mosaics. The lidar point cloud data was classified to separate ground surface returns from vegetation returns as well as structures such as buildings, bridges etc. One-meter DEM's were produced from the surface returns along with vegetation canopy height also at 1-meter grids. Two surface energy balance models that use remote sensing inputs were applied to the high resolution imagery, namely the SEBAL and the Two Source Model. The model parameterizations were slightly modified to accept high resolution imagery (1-meter) as well as the lidar-based vegetation height product, which was used to estimate the aerodynamic roughness length. Both models produced very similar results in terms of latent heat fluxes (LE). Instantaneous LE values were extrapolated to daily evapotranspiration rates (ET) using the reference ET fraction, with data obtained from a local weather station. Seasonal rates were obtained by extrapolating the reference ET fraction according to the seasonal growth habits of the different species. Vegetation species distribution and area were obtained from classification of the multispectral imagery. Results indicate that cottonwood and salt cedar (tamarisk) had the highest evapotranspiration rates followed by mesophytes, arundo, mesquite and desert shrubs. This research showed that high-resolution airborne multispectral and thermal infrared imagery integrated with precise full-waveform lidar data can be used to estimate evapotranspiration and water use by riparian vegetation.

Proceedings Article | 29 April 2010 Paper

Signal processing on waveform data from the Eyesafe Ladar Testbed (ELT)

Kevin Neilsen, Scott Budge, Robert Pack

Proceedings Volume 7684, 76840R (2010) https://doi.org/10.1117/12.850738

KEYWORDS: Deconvolution, Signal processing, LIDAR, Expectation maximization algorithms, Error analysis, Interference (communication), Electronic filtering, Filtering (signal processing), Electronics, Optical filters

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Proceedings Article | 2 May 2009 Paper

Design and validation of the eyesafe ladar testbed (ELT) using the LadarSIM system simulator

Kevin Neilsen, Scott Budge, Robert Pack, R. Rees Fullmer, T. Dean Cook

Proceedings Volume 7323, 73230B (2009) https://doi.org/10.1117/12.818856

KEYWORDS: LIDAR, Interference (communication), Sensors, Systems modeling, Receivers, Signal to noise ratio, Optical amplifiers, Imaging systems, Error analysis, Data modeling

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Proceedings Article | 1 May 2009 Paper

Eyesafe ladar testbed with coaxial color imager

Robert Pack, Jason Swasey, Rees Fullmer, Scott Budge, Paul Israelsen, Brad Petersen, Dean Cook

Proceedings Volume 7323, 732303 (2009) https://doi.org/10.1117/12.818146

KEYWORDS: LIDAR, Mirrors, Sensors, Imaging systems, Cameras, Raster graphics, Automatic target recognition, 3D acquisition, Algorithm development, Control systems

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Proceedings Article | 24 March 2008 Paper

Active and attentive LADAR scanning for automatic target recognition

Michael Mamanakis, R. Rees Fullmer, Robert Pack, Scott Budge

Proceedings Volume 6971, 69710I (2008) https://doi.org/10.1117/12.777372

KEYWORDS: LIDAR, Scanners, Automatic target recognition, Visualization, Monte Carlo methods, Target recognition, Detection and tracking algorithms, Image processing, Mirrors, Object recognition

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Proceedings Article | 14 May 2007 Paper

A validation procedure for a LADAR system radiometric simulation model

Brad Leishman, Scott Budge, Robert Pack

Proceedings Volume 6550, 65500G (2007) https://doi.org/10.1117/12.720240

KEYWORDS: Sensors, LIDAR, Error analysis, Reflectivity, Pulsed laser operation, Signal detection, Systems modeling, Interference (communication), Optical simulations, Radiometry

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Proceedings Article | 3 May 2007 Paper

Simulation tests of a lidar-based spacecraft pose determination algorithm

Ronald Fenton, R. Rees Fullmer, Robert Pack

Proceedings Volume 6555, 65550G (2007) https://doi.org/10.1117/12.720114

KEYWORDS: LIDAR, Space operations, 3D modeling, Image registration, Computer simulations, Clouds, Algorithm development, Detection and tracking algorithms, Imaging systems, Navigation systems

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Proceedings Article | 19 May 2006 Paper

Generic simulation of multi-element ladar scanner kinematics in USU LadarSIM

David Omer, Benjamin Call, Robert Pack, Rees Fullmer

Proceedings Volume 6214, 62140M (2006) https://doi.org/10.1117/12.666396

KEYWORDS: Bismuth, Chemical elements, Mirrors, Sensors, Scanners, LIDAR, Algorithm development, Optical components, Beam steering, Reflectivity

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Proceedings Article | 19 May 2006 Paper

Simulation and modeling of return waveforms from a ladar beam footprint in USU LadarSIM

Scott Budge, Brad Leishman, Robert Pack

Proceedings Volume 6214, 62140N (2006) https://doi.org/10.1117/12.666404

KEYWORDS: Signal detection, LIDAR, Systems modeling, Sensors, Reflectivity, Electronic filtering, Optical simulations, Bidirectional reflectance transmission function, Receivers, Gaussian pulse

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Proceedings Article | 19 May 2006 Paper

The simulation of automatic ladar sensor control during flight operations using USU LadarSIM software

Robert Pack, David Saunders, Rees Fullmer, Scott Budge

Proceedings Volume 6214, 62140L (2006) https://doi.org/10.1117/12.666382

KEYWORDS: Sensors, LIDAR, Scanners, Automatic target recognition, Target recognition, Clouds, Mirrors, Automatic control, Staring arrays, Thermal weapon sites

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Proceedings Article | 20 May 2005 Paper

Design of lidar-based sensors and algorithms for determining the relative motion of an impaired spacecraft

Ronald Fenton, R. Rees Fullmer, Robert Pack

Proceedings Volume 5778, (2005) https://doi.org/10.1117/12.602753

KEYWORDS: LIDAR, Clouds, Space operations, Image registration, Sensors, 3D modeling, Algorithm development, Detection and tracking algorithms, Error analysis, 3D image processing

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Proceedings Article | 19 May 2005 Paper

A co-boresighted synchronized ladar/EO imager for creating 3D images of dynamic scenes

Robert Pack, Paul Israelsen, Kylee Sealy

Proceedings Volume 5791, (2005) https://doi.org/10.1117/12.603788

KEYWORDS: LIDAR, Cameras, Imaging systems, 3D image processing, Control systems, Process control, Scanners, Digital cameras, Sensors, 3D acquisition

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Showing 5 of 14 publications

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