Listed below are some of the Chester F. Carlson Center for Imaging Science's recent scholarly works.

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Documents from 2023

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Understanding Image Quality for Deep Learning-Based Computer Vision, Austin Bergstrom

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Graph-based Learning Networks for Automatic Pigment Mapping of Historical Artifacts, Bei Cao

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From Fully-Supervised Single-Task to Semi-Supervised Multi-Task Deep Learning Architectures for Segmentation in Medical Imaging Applications, S M Kamrul Hasan

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Look at the Bigger Picture: Analyzing Eye Tracking Data with Multi-Dimensional Visualization, Anjali Jogeshwar

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LIDAR Voxel Segmentation Using 3D Convolutional Neural Networks, Yuval H. Levental

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Techniques to Create a Realistic Digital Collection of Near Planar Cultural Heritage Objects, Snehal A. Padhye

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The Geometry and Topology of Landslides, Kamal Rana

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An alternative to Hapke’s macroscopic roughness correction, Dylan J. Shiltz and Charles M. Bachmann

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Diffractive Light and Solar Sails, Prateek Ranjan Srivastava

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A Deep Learning-based Pipeline to Generate Patient-specific Anatomical Models of the Heart Using Cardiac MRI, Roshan Reddy Upendra

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Demonstration of a Virtual Reality Driving Simulation Platform, Mingming Wang

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LWIR Spectral Variability Integration and Improvements to an Earth Observing Statistical Performance Model, Runchen Zhao

Documents from 2022

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Towards Multimodal Open-World Learning in Deep Neural Networks, Manoj Acharya

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Deep into the Eyes: Applying Machine Learning to improve Eye-Tracking, Aayush Kumar Chaudhary

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Progressing sUAS-based Remote Sensing Data Collection Automation: Performance Analysis of the At-Altitude Radiance Ratio Method for Reflectance Conversion of Multispectral and Hyperspectral Remote Sensing Data, Luke J.R. DeCoffe

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Learning to see and hear in 3D: Virtual reality as a platform for multisensory perceptual learning, Catherine A. Fromm

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The EaRTH Disk Model: Analysis and Integration of Protoplanetary Disk Mineralogy and Structure, William Allen Richard Grimble

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On the Use of Imaging Spectroscopy from Unmanned Aerial Systems (UAS) to Model Yield and Assess Growth Stages of a Broadacre Crop, Amirhossein Hassanzadeh

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Towards Efficient Lifelong Machine Learning in Deep Neural Networks, Tyler L. Hayes

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Radiometrically-Accurate Hyperspectral Data Sharpening, Sihan Huang

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On uncertainty propagation in image-guided renal navigation: Exploring uncertainty reduction techniques through simulation and in vitro phantom evaluation, Peter Jackson

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Virtual Cleaning of Works of Art Using Deep Learning Based Approaches, Morteza Maali Amiri

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Deep Learning for Medical Imaging in a Biased Environment, Usman Mahmood

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Cochlear Compartments Segmentation and Pharmacokinetics using Micro Computed Tomography Images, Sanketh Satyanarayana Moudgalya

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Manifold Based Deep Learning: Advances and Machine Learning Applications, Navya Nagananda

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Computational Imaging and its Application, Helen Peng

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Learning representations in the hyperspectral domain in aerial imagery, Aneesh Rangnekar

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Radiometric Effects of Centimeter Scale Roughness of Bare Soils, Dylan J. Shiltz

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Reflectance and Emittance Spectra of Intimately Mixed and Layered Media, Charles A. Tabor Jr

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Deep Feature Learning and Adaptation for Computer Vision, Abu Md Niamul Taufique

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Toward Structural Characterization of Broadacre Crops Using UAS-based 3D Point Clouds, Fei Zhang

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Comparison of Methane Plume Detection Using Shortwave and Longwave Infrared Hyperspectral Sensors Under Varying Environmental Conditions, Lucy Zimmerman

Documents from 2021

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An Experimental Campaign to Collect Multiresolution Hyperspectral Data with Ground Truth, Joseph A. Carrock II

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Toward improved crop management using spectral sensing with unmanned aerial systems, Robert Ormal Chancia

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Measurements of Radiation Pressure on Diffractive Films, Ying-Ju Lucy Chu

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Hyperspectral Polarization Data for Particulate Materials, Rachel Golding

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Towards Robust Gaze Estimation and Classification in Naturalistic Conditions, Rakshit S. Kothari

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Volume-based Estimates of Left Ventricular Blood Pool Volume and Ejection Fraction from Multi-plane 2D Ultrasound Images, Dawei Liu

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Robust Multiple Object Tracking Using ReID features and Graph Convolutional Networks, Christian Lusardi

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1D Conditional Generative Adversarial Network for Spectrum-to-spectrum Translation of Simulated Chemical Reflectance signatures, Cara Murphy and John Kerekes

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Physics-guided Neural Network for Predicting Chemical Signatures, Cara Murphy and John Kerekes

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Methods for Generating High-Fidelity Trace Chemical Residue Reflectance Signatures for Active Spectroscopy Classification Applications, Cara Patrice Murphy

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1D Conditional Generative Adversarial Network for Spectrum-to-Spectrum Translation of Simulated Chemical Reflectance Signatures, Cara P. Murphy and John Kerekes

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Temporal Requirements for Future Landsat Systems for Agricultural Monitoring, Emily Myers

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An Examination of Environmental Applications for Uncooled Thermal Infrared Remote Sensing Instruments, Cody M. Webber

Documents from 2020

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Automated brain segmentation methods for clinical quality MRI and CT images, Viraj Reddy Adduru

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Simulation of Internet of Things Water Management for Efficient Rice Irrigation in Rwanda, Peace Bamurigire, Anthony Vodacek, Andras Valko, and Said Rutabayiro Ngoga

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Clearing the Clouds: Extracting 3D information from amongst the noise, Alexander Fafard

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Determining improvements in Landsat spectral sampling for inland water quality monitoring, Ryan T. Ford and Anthony Vodacek

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Application of Thermal and Ultraviolet Sensors in Remote Sensing of Upland Ducks, Matthew W. Helvey

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Sub-pixel Sensitivity Variations and their Effects on Precision Aperture Photometry, Alexis M. Irwin

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Design of a comprehensive modeling, characterization, rupture risk assessment and visualization pipeline for Abdominal Aortic Aneurysms, Golnaz Jalalahmadi

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Advancing Multi-Modal Deep Learning: Towards Language-Grounded Visual Understanding, Kushal Kafle

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The Use of Deep Learning Methods to Assist in the Classification of Seismically Vulnerable Dwellings, Salman Khan

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Automatic Pigment Classification in Painted Works of Art from Diffuse Reflectance Image Data, Tania Kleynhans

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Representations and representation learning for image aesthetics prediction and image enhancement, Michal Kucer

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Query-Driven Global Graph Attention Model for Visual Parsing: Recognizing Handwritten and Typeset Math Formulas, Mahshad Mahdavi

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Low Cost Radiometer Design for Landsat Surface Temperature Validation, Jonathan Miller

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Practical Model for Improved Classification of Trace Chemical Residues on Surfaces in Active Spectroscopic Measurements, Cara P. Murphy, John P. Kerekes, Derek A. Wood, and Anish K. Goyal

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Practical Model for Improved Classification of Trace Chemical Residues on Surfaces in Active Spectroscopic Measurements, Cara P. Murphy, John Kerekes, Derek Wood, and Anish Goyal

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Gaze Estimation Based on Multi-view Geometric Neural Networks, Devarth Parikh

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Deep Convolutional Networks without Learning the Classifier Layer, Zhongchao Qian

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Open Set Classification for Deep Learning in Large-Scale and Continual Learning Models, Ryne Roady

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Evaluating Appearance Differences of Color 3D Printed Objects, Matt Ronnenberg

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Deciduous Broadleaf Bidirectional Scattering Distribution Function (BSDF): Measurements, Modeling, and Impacts on Waveform Lidar Forest Assessments, Benjamin D. Roth

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On the use of rapid-scan, low point density terrestrial laser scanning (TLS) for structural assessment of complex forest environments, Ali Rouzbeh Kargar

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Randomizable phenology-dependent corn canopy for simulated remote sensing of agricultural scenes, M Grady Saunders

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Synthetic Aperture Radar simulation by Electro Optical to SAR Transformation using Generative Adversarial Network, Jason Slover

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An Examination of Enhanced Atmospheric Methane Detection Methods for Predicting Performance of a Novel Multiband Uncooled Radiometer Imager, Cody M. Webber and John Kerekes

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An Examination of Enhanced Atmospheric Methane Detection Methods for Predicting Performance of a Novel Multiband Uncooled Radiometer Imager, Cody M. Webber and John P. Kerekes

Documents from 2019

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A Hyperspectral Image Classification Approach to Pigment Mapping of Historical Artifacts Using Deep Learning Methods, Di Bai

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Study of Human Hand-Eye Coordination Using Machine Learning Techniques in a Virtual Reality Setup, Kamran Binaee

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TIRS-2 and Future Thermal Instrument Band Study and Stray Light Study, Nicholas Bitten

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Computational Methods for Segmentation of Multi-Modal Multi-Dimensional Cardiac Images, Shusil Dangi

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Evaluation of Pixel-scale Tunable Fabry-Perot Filters for Optical Imaging, Daniel L. Edwards

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The Characterization of Earth Sediments using Radiative Transfer Models from Directional Hyperspectral Reflectance, Rehman S. Eon

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Retrieval of Salt Marsh Above-ground Biomass From High-spatial Resolution Hyperspectral Imagery Using PROSAIL, Rehman S. Eon, Sarah Goldsmith, Charles M. Bachmann, Anna Christina Tyler, Christopher S. Lapszynski, Greg P. Badura, David T. Osgood, and Ryan Brett

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Water Quality and Algal Bloom Sensing from Multiple Imaging Platforms, Ryan Ford

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Glint Correction of Unmanned Aerial System Imagery, Ryan T. Ford and Anthony Vodacek

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Machine Learning for Robust Understanding of Scene Materials in Hyperspectral Images, Utsav B. Gewali

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Utility Analysis for Optimizing Compact Adaptive Spectral Imaging Systems for Subpixel Target Detection Applications, Sanghui Han

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Spatially-explicit Snap Bean Flowering and Disease Prediction Using Imaging Spectroscopy from Unmanned Aerial Systems, Ethan W. Hughes

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Combining Hyperspectral Imaging and Small Unmanned Aerial Systems for Grapevine Moisture Stress Assessment, Rinaldo R. Izzo

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Automatic Cancer Tissue Detection Using Multispectral Photoacoustic Imaging, Kamal Jnawali

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Tool for the Analysis of Human Interaction with Two-Dimensional Printed Imagery, Anjali K. Jogeshwar

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Object Detection in High Resolution Aerial Images and Hyperspectral Remote Sensing Images, Yilong Liang

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Hyperspectral Video Processing on Resource-Constrained Platforms, Honglei Li, Lei Pan, Eung Joo Lee, Zhu Li, Matthew J. Hoffman, Anthony Vodacek, and Shuvra S. Bhattacharyya

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An Analysis of the Radiometric Quality of Small Unmanned Aircraft System Imagery, Baabak G. Mamaghani

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Manned Aircraft Versus Small Unmanned Aerial System—Forestry Remote Sensing Comparison Utilizing Lidar and Structure-From-Motion for Forest Carbon Modeling and Disturbance Detection, Michael P. McClelland II, Jan van Aardt, and Darin Hale

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Methodology for the Integration of Optomechanical System Software Models with a Radiative Transfer Image Simulation Model, Keegan S. McCoy

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Point Spread Function Determination in the Scanning Electron Microscope and its Application in Restoring Images Acquired at Low Voltage, Mandy C. Nevins

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System Design Considerations for a Low-Intensity Hyperspectral Imager of Sensitive Cultural Heritage Manuscripts, Tyler R. Peery

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Segmentation and Classification of Multimodal Imagery, Sankaranarayanan Piramanayagam

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A Density-Based Approach for Leaf Area Index Assessment in a Complex Forest Environment Using a Terrestrial Laser Scanner, Ali Rouzbeh Kargar, Richard MacKenzie, Gregory P. Asner, and Jan van Aardt

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Influence of Drone Altitude, Image Overlap, and Optical Sensor Resolution on Multi-View Reconstruction of Forest Images, Erich Seifert, Stefan Seifert, Holger Vogt, David Drew, Jan van Aardt, and Thomas Seifert

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Ultrafast Laser Polishing for Optical Fabrication, Lauren L. Taylor

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Evaluating the performance of digital micromirror devices for use as programmable slit masks in multi-object spectrometers, Anton Travinsky

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Point Spread Function and Modulation Transfer Function Engineering, Jacob Wirth

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Crime Scene Blood Evidence Detection Using Spectral Imaging, Jie Yang

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Deep Learning Methods for 3D Aerial and Satellite Data, Mohammed A. Yousefhussien