Dr. Matthew D. Reisman Profile

Dr. Matthew D. Reisman

A/AI Research Engineer, Staff

SPIE Involvement:

Author

Publications (10)

Proceedings Article | 31 May 2022 Presentation + Paper

Automated detection and classification of military warships in overhead imagery

Matthew Reisman, Dominic LeDuc, Adam Francisco

Proceedings Volume 12096, 120960G (2022) https://doi.org/10.1117/12.2621951

KEYWORDS: Data modeling, Image segmentation, Performance modeling, Image classification, Sensors, Satellites, Satellite imaging, Earth observing sensors, Target detection, Machine learning

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Proceedings Article | 30 May 2022 Presentation

Deep learning for construction monitoring in rapidly urbanizing areas

Zachary DeSantis, Matthew Reisman, Adam Francisco, Latisha Konz, Dominic LeDuc, Timothy Overman

Proceedings Volume PC12096, PC1209606 (2022) https://doi.org/10.1117/12.2624103

KEYWORDS: Network architectures, Detection and tracking algorithms

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Proceedings Article | 27 May 2022 Presentation + Paper

Object-level change detection for autonomous sensemaking

Dominic LeDuc, Taber Fisher, Isaiah Engle, Avinash Vadlamudi, Matthew Reisman

Proceedings Volume 12099, 1209909 (2022) https://doi.org/10.1117/12.2621960

KEYWORDS: Detection and tracking algorithms, Databases, Buildings, Sensors, Satellites, Satellite imaging, Earth observing sensors, Data fusion, Automatic target recognition, Visualization

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Proceedings Article | 12 April 2021 Presentation + Paper

Deep learning-based object level change detection in overhead imagery

Adam Francisco, Matthew Reisman, Jon Dalrymple, Kevin LaTourette

Proceedings Volume 11729, 117290N (2021) https://doi.org/10.1117/12.2587080

KEYWORDS: Sensors, Sensor performance, Light sources and illumination, Image segmentation, Defense and security

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Proceedings Article | 12 April 2021 Presentation + Paper

Optimizing deep learning classifier performance for low to medium resolution overhead imagery

Jonathan Dalrymple, Matthew Reisman, Adam Francisco, Garrett Zans, Taber Fisher

Proceedings Volume 11729, 1172906 (2021) https://doi.org/10.1117/12.2587102

KEYWORDS: Image resolution, Image classification, Performance modeling, Neural networks, Network architectures, Machine learning, Convolutional neural networks

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Proceedings Article | 12 April 2021 Presentation + Paper

Closely spaced object segmentation using a hybrid deep learning approach

Matthew Reisman, Jonathan Dalrymple, Adam Francisco, Latisha Konz, Timothy Overman

Proceedings Volume 11729, 117290J (2021) https://doi.org/10.1117/12.2586991

KEYWORDS: Image segmentation, Image resolution, Detection and tracking algorithms, Algorithm development, Yield improvement, Target detection, Sensors, Planets, Evolutionary algorithms, Convolutional neural networks

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Proceedings Article | 14 May 2019 Presentation + Paper

HySARNet: a hybrid machine learning approach to synthetic aperture radar automatic target recognition

Ryan Soldin, Douglas MacDonald, Matthew Reisman, Latisha Konz, Roger Rouse, Timothy Overman

Proceedings Volume 10988, 1098804 (2019) https://doi.org/10.1117/12.2518155

KEYWORDS: Synthetic aperture radar, Automatic target recognition, Sensors, 3D modeling, Target detection, Data modeling

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Proceedings Article | 4 March 2019 Presentation

A diffuse optical tomography system for whole-brain functional imaging in mice using multiple camera views (Conference Presentation)

Zachary Markow, Matthew Reisman, Adam Bauer, Adam Eggebrecht, Mark Anastasio, Joseph Culver

Proceedings Volume 10874, 108741G (2019) https://doi.org/10.1117/12.2508997

KEYWORDS: Imaging systems, Diffuse optical tomography, Cameras, Functional imaging, Head, Digital micromirror devices, 3D metrology, Profiling, Natural surfaces, Neuroimaging

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SPIE Journal Paper | 19 February 2018 Open Access

Designing a large field-of-view two-photon microscope using optical invariant analysis

Jonathan Bumstead, Jasmine Park, Isaac Rosen, Andrew Kraft, Patrick Wright, Matthew Reisman, Daniel Côté, Joseph Culver

NPh, Vol. 5, Issue 02, 025001, (February 2018) https://doi.org/10.1117/12.10.1117/1.NPh.5.2.025001

KEYWORDS: Objectives, Relays, Lenses, Microscopes, Scanners, Polygon scanners, Imaging systems, Mirrors, Image resolution, Laser scanners

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SPIE Journal Paper | 13 April 2017 Open Access

Structured illumination diffuse optical tomography for noninvasive functional neuroimaging in mice

Matthew Reisman, Zachary Markow, Adam Bauer, Joseph Culver

NPh, Vol. 4, Issue 02, 021102, (April 2017) https://doi.org/10.1117/12.10.1117/1.NPh.4.2.021102

KEYWORDS: Sensors, Data modeling, Imaging systems, Brain, Neuroimaging, Diffuse optical tomography, Head, Cameras, Optical properties, Tissues

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