Dr. Cameron Musgrove Profile

Dr. Cameron Musgrove

at Sandia National Labs

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 12 May 2016 Paper

Synthetic aperture radar speckle reduction for circle mode SAR images

Cameron Musgrove

Proceedings Volume 9829, 982910 (2016) https://doi.org/10.1117/12.2222076

KEYWORDS: Synthetic aperture radar, Speckle, Image registration, Image processing, Image resolution, Visualization, Radar imaging, Radar, Speckle pattern, Coherence imaging, Imaging systems

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Proceedings Article | 21 May 2015 Paper

Application of equalization notch to improve synthetic aperture radar coherent data products

Cameron Musgrove, James West

Proceedings Volume 9461, 94610T (2015) https://doi.org/10.1117/12.2175587

KEYWORDS: Synthetic aperture radar, Charge-coupled devices, Coherence (optics), Radar, Distortion, CCD image sensors, Image quality, Sensors, Digital filtering, Signal processing

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Interference and interference mitigation techniques degrade synthetic aperture radar (SAR) coherent data products. Radars utilizing stretch processing present a unique challenge for many mitigation techniques because the interference signal itself is modified through stretch processing from its original signal characteristics. Many sources of interference, including constant tones, are only present within the fast-time sample data for a limited number of samples, depending on the radar and interference bandwidth. Adaptive filtering algorithms to estimate and remove the interference signal that rely upon assuming stationary interference signal characteristics can be ineffective. An effective mitigation method, called notching, forces the value of the data samples containing interference to zero. However, as the number of data samples set to zero increases, image distortion and loss of resolution degrade both the image product and any second order image products. Techniques to repair image distortions,¹ are effective for point-like targets. However, these techniques are not designed to model and repair distortions in SAR image terrain. Good terrain coherence is important for SAR second order image products because terrain occupies the majority of many scenes. For the case of coherent change detection it is the terrain coherence itself that determines the quality of the change detection image. This paper proposes an unique equalization technique that improves coherence over existing notching techniques. First, the proposed algorithm limits mitigation to only the samples containing interference, unlike adaptive filtering algorithms, so the remaining samples are not modified. Additionally, the mitigation adapts to changing interference power such that the resulting correction equalizes the power across the data samples. The result is reduced distortion and improved coherence for the terrain. SAR data demonstrates improved coherence from the proposed equalization correction over existing notching methods for chirped interference sources.

Proceedings Article | 29 May 2014 Paper

Arbitrary scene simulation for synthetic aperture radar

Cameron Musgrove, Richard Naething, John Schilling

Proceedings Volume 9077, 907709 (2014) https://doi.org/10.1117/12.2049875

KEYWORDS: Radar, Synthetic aperture radar, Image acquisition, Scene simulation, Data modeling, Radar signal processing, Signal processing, Time-frequency analysis, Detection and tracking algorithms, Motion models

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Proceedings Article | 31 May 2013 Paper

A method to evaluate residual phase error for polar formatted synthetic aperture radar systems

Cameron Musgrove, Richard Naething

Proceedings Volume 8714, 871413 (2013) https://doi.org/10.1117/12.2014929

KEYWORDS: Phase measurement, Radar, Synthetic aperture radar, Error analysis, Image acquisition, Distortion, Fourier transforms, Detection and tracking algorithms, Image quality, Numerical analysis

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Proceedings Article | 20 February 2008 Paper

Approach of trans-rectal NIR optical tomography probing for the imaging of prostate with trans-rectal ultrasound correlation

Daqing Piao, Zhen Jiang, Guan Xu, Cameron Musgrove, Charles Bunting

Proceedings Volume 6850, 68500E (2008) https://doi.org/10.1117/12.778329

KEYWORDS: Near infrared, Prostate, Tomography, Tissues, Optical tomography, Transducers, Sensors, Optical fibers, Prostate cancer, Data modeling

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Proceedings Article | 20 February 2007 Paper

Near-infrared optical tomography: endoscopic imaging approach

Daqing Piao, Hao Xie, Cameron Musgrove, Charles Bunting, Weili Zhang, Guolong Zhang, Ellen Domnick-Davidsion, Kenneth Bartels, G. Reed Holyoak, Sreenivas Vemulapalli, Hamid Dehghani, Brian Pogue

Proceedings Volume 6431, 643103 (2007) https://doi.org/10.1117/12.695217

KEYWORDS: Near infrared, Tomography, Endoscopy, Prostate, Optical tomography, Light, Light sources, Imaging systems, In vivo imaging, Tissues

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