Dr. Matthew Scherreik Profile

Dr. Matthew Scherreik

at Air Force Research Lab

SPIE Involvement:

Author

Matthew D. Scherreik received the B.S. and M.S. degrees in electrical engineering at Wright State University in 2013 and 2014, respectively. He is currently pursuing an engineering Ph.D., also from Wright State University. Mr. Scherreik works on target recognition algorithms as a research engineer for Wright State Research Institute. His research interests include machine learning, pattern recognition, and signal processing.

Proceedings Article | 7 June 2024 Paper

Graph pretraining approach to utilize synthetic data for SAR ATR

Caleb Parks, Susan Gauch, Matthew Scherreik, Ryan Socha

Proceedings Volume 13032, 130320X (2024) https://doi.org/10.1117/12.3025891

KEYWORDS: Synthetic aperture radar, Feature extraction, Neural networks, Machine learning, Image classification, Automatic target recognition

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Proceedings Article | 7 June 2024 Presentation + Paper

Classifier models for SAR ATR performance prediction

Matthew Scherreik

Proceedings Volume 13032, 130320F (2024) https://doi.org/10.1117/12.3014458

KEYWORDS: Performance modeling, Data modeling, Education and training, Automatic target recognition, Modeling, Calibration, Synthetic aperture radar, Sensors, Random forests

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Proceedings Article | 7 June 2024 Presentation + Paper

Learning to fuse with side information for multi-sensor ATR

Zachary Rabin, Matthew Scherreik, Benjamin Lewis, Jim Davis

Proceedings Volume 13032, 130320J (2024) https://doi.org/10.1117/12.3013478

KEYWORDS: Synthetic aperture radar, Image fusion, Sensors, Image classification, Information fusion

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Proceedings Article | 7 June 2024 Presentation + Paper

Operating condition sampling strategies for evaluating ATR performance

Shaun Stephens, Jacob Ross, Charles Hill, William Coleman, Matthew Scherreik

Proceedings Volume 13032, 130320E (2024) https://doi.org/10.1117/12.3013307

KEYWORDS: Performance modeling, Automatic target recognition, Statistical modeling, Sensors, Synthetic aperture radar, Statistical analysis, Machine learning, Image sensors, Data modeling

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Proceedings Article | 14 June 2023 Presentation + Paper

A graphical user interface for multi-modal operating condition sampling

Charles Hill, Adam Nolan, Shaun Stephens, Patrick Bischof, Matthew Scherreik

Proceedings Volume 12529, 125290D (2023) https://doi.org/10.1117/12.2663064

KEYWORDS: Databases, Synthetic aperture radar, Sensors, Data modeling, LIDAR, Electro optical modeling, Visualization, Statistical modeling, Logic, Simulations

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Proceedings Article | 13 June 2023 Presentation + Paper

Dimensionality reduction methods for SAR target recognition

Benjamin Lewis, Matthew Scherreik

Proceedings Volume 12520, 125200M (2023) https://doi.org/10.1117/12.2661102

KEYWORDS: Principal component analysis, Synthetic aperture radar, Automatic target recognition, Image classification, Target recognition, Feature extraction, Clutter

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Proceedings Article | 13 June 2023 Presentation + Paper

Decision level fusion experiments on MWIR, VNIR, and SAR imagery

Jacob Ross, Shaun Stephens, Patrick Bischof, Adam Nolan, Matthew Scherreik

Proceedings Volume 12520, 125200E (2023) https://doi.org/10.1117/12.2663070

KEYWORDS: Synthetic aperture radar, Performance modeling, Sensors, Automatic target recognition, Data fusion

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Proceedings Article | 31 May 2022 Presentation + Paper

Characterizing SAR image exploitation as a function of operating conditions

Matthew Scherreik, Adam Nolan, Shaun Stephens, Lori Westerkamp, Edmund Zelnio

Proceedings Volume 12095, 1209509 (2022) https://doi.org/10.1117/12.2619263

KEYWORDS: Synthetic aperture radar, Automatic target recognition, Sensors, Data modeling

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Proceedings Article | 1 May 2017 Presentation + Paper

Automatic threshold selection for multi-class open set recognition

Matthew Scherreik, Brian Rigling

Proceedings Volume 10202, 102020K (2017) https://doi.org/10.1117/12.2262666

KEYWORDS: Calibration, Lawrencium, Algorithm development, Detection and tracking algorithms, Automatic target recognition, Target recognition, Principal component analysis, Logic, Library classification systems, Data modeling

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Proceedings Article | 12 May 2016 Paper

Multi-class open set recognition for SAR imagery

Matthew Scherreik, Brian Rigling

Proceedings Volume 9844, 98440M (2016) https://doi.org/10.1117/12.2224384

KEYWORDS: Detection and tracking algorithms, Synthetic aperture radar, Target recognition, Calibration, LIDAR, Infrared imaging, Automatic target recognition, Binary data, Data modeling, Picosecond phenomena

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Proceedings Article | 22 May 2015 Paper

An evaluation of open set recognition for FLIR images

Matthew Scherreik, Brian Rigling

Proceedings Volume 9476, 94760N (2015) https://doi.org/10.1117/12.2176585

KEYWORDS: Detection and tracking algorithms, Forward looking infrared, Machine learning, Data modeling, Automatic target recognition, Neodymium, Remote sensing, Calibration, Error analysis, Binary data

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Proceedings Article | 13 June 2014 Paper

Ladar ATR via probabilistic open set techniques

Matthew Scherreik, Brian Rigling

Proceedings Volume 9090, 90900A (2014) https://doi.org/10.1117/12.2048906

KEYWORDS: Detection and tracking algorithms, LIDAR, Automatic target recognition, Target recognition, Algorithm development, Binary data, Phase modulation, Remote sensing, Analytical research, Data modeling

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