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John Mower

Research Scientist/Engineer - Senior

Email

mowerj@apl.washington.edu

Phone

206-616-4787

Education

B.S. Electrical Engineering, University of Washington, 2010

M.S. Electrical Engineering, University of Washington, 2012

Publications

2000-present and while at APL-UW

Neural network for geoacoustic inversion of sub-bottom profiler data

Diamond, J., D. Dall'Osto, and J. Mower, "Neural network for geoacoustic inversion of sub-bottom profiler data," Proc. Mtgs. Acoust., 55, doi:10.1121/2.0002019
, 2025.

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28 Mar 2025

Sub-bottom profilers are utilized to extract features pertaining to the sub seafloor environment sediment stratification. Acquisition and analysis of sub-bottom profiles can provide insight into the sediment composition and acoustical properties. Typical analysis of profiles involves computationally expensive inversions such as model-based or Bayesian techniques which require large computational costs. Here, a neural network is developed to perform a geoacoustic inversion on simulated sub-bottom profiler data. The network is used to derive attenuation and acoustical impedance measurements corresponding to the layered media. Geoacoustic properties of the layered sediments are compared to values determined through a direct inversion of reflection coefficient, testing how well these techniques recover the ground truth values. The network, trained on simulated data, is applied to real sub bottom profiler data acquired over a well-studied area called the New England Mud Patch, roughly 80 km south of Nantucket. The simulated data-trained network is compared to a network trained on experimental data acquired by the R/V Tioga over the same region.

ISAR imaging of near-shore maritime vessels using a low-cost X-band radar

Pham, N., D. Wesen, J. Mower, and M.S. Reynolds, "ISAR imaging of near-shore maritime vessels using a low-cost X-band radar," in Proc., IEEE SENSORS, 20-23 October, Kobe, Japan, doi:10.1109/SENSORS60989.2024.10785210 (IEEE, 2024).

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17 Dec 2024

Inverse Synthetic Aperture Radar (ISAR) is a technique for creating images from radar data. ISAR is similar to Synthetic Aperture Radar (SAR) in that it employs relative motion between a radar and targets or scenes to form large synthetic apertures leading to fine azimuthal resolution. SAR and ISAR differ in that ISAR uses a stationary radar to image moving targets, while SAR uses radar motion to image (typically) stationary scenes. The ISAR system was designed with water traffic in mind and can be placed onshore to act as a low-cost monitoring system. The benefit of this system over an optical system is that it works in situations with poor visibility, such in fog and darkness.

Loaded waveguide antenna for undersea communications

Liu, Y., J. Mower, H. Haghavi, and Y. Kuga, "Loaded waveguide antenna for undersea communications," in Proc., IEEE International Symposium on Antennas and Propagation and INC/USNC‐URSI Radio Science Meeting, 14-19 July, Florence, Italy, pp. 463-464, doi: 10.1109/AP-S/INC-USNC-URSI52054.2024.10685856 (IEEE, 2024).

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15 Jul 2024

A loaded waveguide antenna has been designed, manufactured, and tested to explore potential applications in ocean observation projects. This antenna can operate under high pressure and attenuation in the deep sea with simple techniques to adjust the operating frequency.

More Publications

Acoustics Air-Sea Interaction & Remote Sensing Center for Environmental & Information Systems Center for Industrial & Medical Ultrasound Electronic & Photonic Systems Ocean Engineering Ocean Physics Polar Science Center
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