Dr. Matthew P. Pepin Profile

Dr. Matthew P. Pepin

Retired

SPIE Involvement:

Author

Publications (17)

Proceedings Article | 13 June 2023 Presentation + Paper

Performance envelope of 3D spotlight SAR across different data models, flight profiles, and imaging

Matthew Pepin

Proceedings Volume 12520, 1252004 (2023) https://doi.org/10.1117/12.2662244

KEYWORDS: Synthetic aperture radar, 3D image processing, 3D acquisition, Computer aided design, Image resolution, 3D modeling, Solid modeling, Simulations

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Proceedings Article | 31 May 2022 Presentation + Paper

Broadening circular and linear SAR image and 3D volume parameters for accurate localization

Matthew Pepin

Proceedings Volume 12095, 1209502 (2022) https://doi.org/10.1117/12.2612930

KEYWORDS: Imaging arrays, Synthetic aperture radar, 3D modeling, 3D image processing, Convolution, Solid modeling, Radar, 3D acquisition, Image resolution

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Proceedings Article | 12 April 2021 Presentation + Paper

Accuracy of point scatterer localization across a range of 2D and 3D SAR imaging parameters

Matthew Pepin

Proceedings Volume 11728, 1172809 (2021) https://doi.org/10.1117/12.2585590

KEYWORDS: Synthetic aperture radar, Stereoscopy, 3D image processing, Image resolution, Range imaging, Radar imaging, Point spread functions

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Proceedings Article | 24 April 2020 Presentation + Paper

2D and 3D convolutional and correlation SAR imaging

Matthew Pepin

Proceedings Volume 11393, 1139309 (2020) https://doi.org/10.1117/12.2551695

KEYWORDS: Point spread functions, Convolution, Synthetic aperture radar, 3D image processing, Data modeling, Scattering, Francium, Image processing, Fourier transforms, Image resolution

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Proceedings Article | 14 May 2019 Paper

The 3D complex damped exponential Cramer-Rao estimation bound and algorithms

Matthew Pepin

Proceedings Volume 10987, 1098702 (2019) https://doi.org/10.1117/12.2515545

KEYWORDS: Synthetic aperture radar, 3D image processing, 3D modeling, Data modeling, Image filtering, Scattering, Algorithm development, Fourier transforms, Signal to noise ratio, Monte Carlo methods

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Proceedings Article | 27 April 2018 Presentation + Paper

Three-dimensional total least square Prony method for 3D synthetic aperture scatterer localization

Matthew Pepin

Proceedings Volume 10647, 106470I (2018) https://doi.org/10.1117/12.2304057

KEYWORDS: Synthetic aperture radar, 3D modeling, Data modeling, 3D image processing

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Proceedings Article | 28 April 2017 Presentation + Paper

The efficency of algorithms to match unique scatterer locations in joint 3D azimuth and elevation synthetic aperture radar scenarios

Matthew Pepin

Proceedings Volume 10201, 102010H (2017) https://doi.org/10.1117/12.2262867

KEYWORDS: Synthetic aperture radar, 3D image processing, Detection and tracking algorithms, Interferometric synthetic aperture radar, Radar, Image processing, Statistical analysis, Antennas, Data processing, Error analysis, Spatial resolution

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Proceedings Article | 14 May 2016 Paper

Performance of several imaging methodologies in extraction of secondary SAR slow-time signals

Matthew Pepin

Proceedings Volume 9843, 98430C (2016) https://doi.org/10.1117/12.2224356

KEYWORDS: Synthetic aperture radar, Image resolution, Doppler effect, Image filtering, Fourier transforms, Distortion, Wavefronts, Spherical lenses, Fractional fourier transform, Radar imaging

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Proceedings Article | 13 May 2015 Paper

Joint azimuth and elevation localization estimates in 3D synthetic aperture radar scenarios

Matthew Pepin

Proceedings Volume 9475, 94750B (2015) https://doi.org/10.1117/12.2176779

KEYWORDS: Synthetic aperture radar, Error analysis, Interferometric synthetic aperture radar, Clouds, Antennas, Electroluminescence, Statistical analysis, Sensors, Radar, Receivers

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The location of point scatterers in Synthetic Aperture Radar (SAR) data is exploited in several modern analyzes including persistent scatter tracking, terrain deformation, and object identification. The changes in scatterers over time (pulse-to-pulse including vibration and movement, or pass-to-pass including direct follow on, time of day, and season), can be used to draw more information about the data collection. Multiple pass and multiple antenna SAR scenarios have extended these analyzes to location in three dimensions. Either multiple passes at different elevation angles may be .own or an antenna array with an elevation baseline performs a single pass. Parametric spectral estimation in each dimension allows sub-pixel localization of point scatterers in some cases additionally exploiting the multiple samples in each cross dimension. The accuracy of parametric estimation is increased when several azimuth passes or elevations (snapshots) are summed to mitigate measurement noise. Inherent range curvature across the aperture however limits the accuracy in the range dimension to that attained from a single pulse. Unlike the stationary case where radar returns may be averaged the movement necessary to create the synthetic aperture is only approximately (to pixel level accuracy) removed to form SAR images. In parametric estimation increased accuracy is attained when two dimensions are used to jointly estimate locations. This paper involves jointly estimating azimuth and elevation to attain increased accuracy 3D location estimates. In this way the full 2D array of azimuth and elevation samples is used to obtain the maximum possible accuracy. In addition the independent dimension collection geometry requires choosing which dimension azimuth or elevation attains the highest accuracy while joint estimation increases accuracy in both dimensions. When maximum parametric estimation accuracy in azimuth is selected the standard interferometric SAR scenario results. When maximum estimation accuracy in elevation is selected the multiple baseline interferometric SAR scenario results. Use of a 2D parametric estimation method attains the best accuracy possible in both dimensions. When in some scenarios particularly the orbital case where the azimuth dimension is only approximately linear the full accuracy increase of linear joint azimuth and elevation is not fully attained. Images and point cloud estimates are shown for several linear and orbital SAR scenarios. Images provide a visual representation of the data while the quantitative point cloud data is a direct input for the multiple analyzes listed earlier.

Proceedings Article | 13 June 2014 Paper

A three-dimensional fractional Fourier transformation methodology for volumetric linear, circular, and orbital synthetic aperture radar formation

Matthew Pepin

Proceedings Volume 9093, 909304 (2014) https://doi.org/10.1117/12.2050150

KEYWORDS: Synthetic aperture radar, 3D image processing, Radar, 3D modeling, Data modeling, Radon, Solid modeling, Image processing, Device simulation, Image compression

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Proceedings Article | 23 May 2013 Paper

Point source localization from de-ramped phase history bound on interferometric synthetic aperture radar (IFSAR) accuracy

Matthew Pepin, Majeed Hayat

Proceedings Volume 8746, 874605 (2013) https://doi.org/10.1117/12.2015782

KEYWORDS: Interferometric synthetic aperture radar, Antennas, Error analysis, Synthetic aperture radar, Electroluminescence, Statistical analysis, Source localization, Receivers, Image processing, Radar

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Proceedings Article | 4 May 2012 Paper

Refocusing vibrating targets in SAR images

Qi Wang, Balu Santhanam, Matthew Pepin, Tom Atwood, Majeed Hayat

Proceedings Volume 8361, 836106 (2012) https://doi.org/10.1117/12.919521

KEYWORDS: Synthetic aperture radar, Phase modulation, Detection and tracking algorithms, Phase shift keying, Device simulation, Modulation, Fractional fourier transform, Reconstruction algorithms, Fourier transforms, Computer simulations

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Proceedings Article | 3 May 2012 Paper

Separation of vibrating and static SAR object signatures via an orthogonal subspace transformation

Matthew Pepin, Majeed Hayat

Proceedings Volume 8394, 83940I (2012) https://doi.org/10.1117/12.917217

KEYWORDS: Modulation, Synthetic aperture radar, Phase shift keying, Signal to noise ratio, Doppler effect, Phase measurement, Radar, Data modeling, Image compression, Radar imaging

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Proceedings Article | 21 June 2011 Paper

SAR vibrometry using the pseudo-subspace approach based on the discrete fractional Fourier transform

Qi Wang, Balu Santhanam, Matthew Pepin, Tom Atwood, Majeed Hayat

Proceedings Volume 8021, 80210U (2011) https://doi.org/10.1117/12.884011

KEYWORDS: Synthetic aperture radar, Signal to noise ratio, Statistical analysis, Vibrometry, Matrices, Fractional fourier transform, Interference (communication), Detection and tracking algorithms, Algorithm development, Radar

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Proceedings Article | 5 May 2011 Paper

Fast synthetic aperture radar imaging with a streamlined 2D fractional Fourier transform

Matthew Pepin, Majeed Hayat

Proceedings Volume 8051, 805102 (2011) https://doi.org/10.1117/12.883862

KEYWORDS: Synthetic aperture radar, Convolution, Fractional fourier transform, Matrices, Radar imaging, Doppler effect, Algorithm development, Fourier transforms, Radar, Modulation

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Proceedings Article | 27 April 2010 Paper

SAR-based vibration retrieval using the fractional Fourier transform in slow time

Qi Wang, Matthew Pepin, Balu Santhanam, Tom Atwood, Majeed Hayat

Proceedings Volume 7669, 766911 (2010) https://doi.org/10.1117/12.849671

KEYWORDS: Synthetic aperture radar, Fractional fourier transform, Modulation, Frequency modulation, Phase modulation, Antennas, Doppler effect, Phase shift keying, Signal to noise ratio, Data acquisition

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Proceedings Article | 19 April 2010 Paper

Estimation of vibration spectra including vibrating direction with synthetic aperture radar

Matthew Pepin, Majeed Hayat

Proceedings Volume 7699, 76990L (2010) https://doi.org/10.1117/12.850311

KEYWORDS: Error analysis, Synthetic aperture radar, Statistical analysis, Radar, Factor analysis, Signal to noise ratio, Doppler effect, Phase shifts, Affine motion model, Data modeling

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Showing 5 of 17 publications

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