Polarization-based underwater geolocalization with machine-learning algorithms

Viktor Gruev

doi:10.1117/12.3012870

10 June 2024 Polarization-based underwater geolocalization with machine-learning algorithms

Viktor Gruev

Proceedings Volume 13050, Polarization: Measurement, Analysis, and Remote Sensing XVI; 1305008 (2024) https://doi.org/10.1117/12.3012870
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

The underwater realm lacks GPS signal penetration, making passive navigation challenging. To overcome these hurdles, we've developed an underwater geolocalization technique that solely utilizes polarization data. This method leverages the underwater scattering phenomenon, which largely depends on the positions of the sun or moon. By training a deep neural network with over 10 million images gathered over two years, we have achieved an impressive accuracy of approximately 60 km with this approach.

Conference Presentation

Citation Download Citation

Viktor Gruev "Polarization-based underwater geolocalization with machine-learning algorithms", Proc. SPIE 13050, Polarization: Measurement, Analysis, and Remote Sensing XVI, 1305008 (10 June 2024); https://doi.org/10.1117/12.3012870

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