Dr. Bradley M. Whitaker Profile

Dr. Bradley M. Whitaker

at Montana State Univ

SPIE Involvement:

Author

Area of Expertise:

Machine Learning , Sparse Coding , Imbalanced Data Analysis

Publications (7)

Proceedings Article | 28 May 2024 Presentation + Paper

Toward polarization-enhanced water quality remote sensing measurements from UAVs

P. Flint Morgan, Wyatt Weller, Dylan Maxwell, Shannon Hamp, Erica Venkatesulu, Joseph Shaw, Bradley Whitaker, Michael Roddewig

Proceedings Volume 13083, 1308308 (2024) https://doi.org/10.1117/12.3023048

KEYWORDS: Polarization, Cameras, Remote sensing, Unmanned aerial vehicles, Water quality, Chlorophyll, Data modeling

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Proceedings Article | 12 March 2024 Presentation + Paper

Hyperspectral remote sensing approach for rapid detection of potato virus Y

Siddat Nesar, Bradley Whitaker, Nina Zidack, Paul Nugent

Proceedings Volume 12879, 128790C (2024) https://doi.org/10.1117/12.3008344

KEYWORDS: Cameras, Reflectivity, Radiometric calibration, Unmanned aerial vehicles, Remote sensing, Spectral calibration, Neural networks, Calibration

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Proceedings Article | 4 October 2023 Presentation + Paper

Preliminary analysis of drone propeller signals using wingbeat-modulation lidar

John Fike, Trevor Vannoy, Nathaniel Sweeney, Joseph Shaw, Bradley Whitaker

Proceedings Volume 12675, 126750R (2023) https://doi.org/10.1117/12.2676175

KEYWORDS: LIDAR, Unmanned aerial vehicles, Machine learning, Pulse signals, Data modeling, Photomultipliers, Neural networks, Feature extraction, Active remote sensing, Digital signal processing

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Proceedings Article | 15 March 2023 Poster + Paper

Automatic 2D material detection in optical images using deep-learning-based computer vision

Fereshteh Ramezani, Sheikh Parvez, J. Pierce Fix, Arthur Battaglin, Seamus Whyte, Nicholas Borys, Bradley Whitaker

Proceedings Volume 12438, 1243816 (2023) https://doi.org/10.1117/12.2647425

KEYWORDS: Object detection, 2D materials, Education and training, Detection and tracking algorithms, Computer vision technology, Data modeling, Quantum deep learning, Machine learning, Crystals, Quantum detection

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Proceedings Article | 3 June 2022 Presentation + Paper

Automated insect recognition in unlabeled lidar field measurements

Hannah Madsen, Trevor Vannoy, Elizabeth Rehbein, Riley Logan, Joseph Shaw, Bradley Whitaker

Proceedings Volume 12110, 1211007 (2022) https://doi.org/10.1117/12.2618660

KEYWORDS: Data modeling, LIDAR, Neural networks, Machine learning, Evolutionary algorithms, Target detection, Remote sensing, Polarization, Modulation, Matrices

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Proceedings Article | 27 May 2022 Presentation + Paper

Toward a hardware implementation of lidar-based real-time insect detection

Trevor Vannoy, Elizabeth Rehbein, Riley Logan, Joseph Shaw, Bradley Whitaker

Proceedings Volume 12102, 121020E (2022) https://doi.org/10.1117/12.2618970

KEYWORDS: MATLAB, Field programmable gate arrays, Simulink, LIDAR, Feature extraction, Neural networks, Digital signal processing, Machine learning, Algorithm development

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SPIE Journal Paper | 19 July 2021

Machine learning-based region of interest detection in airborne lidar fisheries surveys

Trevor Vannoy, Jackson Belford, Joseph Aist, Kyle Rust, Michael Roddewig, James Churnside, Joseph A. Shaw, Bradley M. Whitaker

JARS, Vol. 15, Issue 03, 038503, (July 2021) https://doi.org/10.1117/12.10.1117/1.JRS.15.038503

KEYWORDS: LIDAR, Neural networks, Machine learning, Inspection, Polarization, MATLAB, Optical inspection, Visualization, Telescopes, Evolutionary algorithms

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Showing 5 of 7 publications

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