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arXiv · 2609.21123

Signal-Centric Remote Sensing via Alternative Preprocessing and Acoustic Processing for ML-Driven Applications

Logan Luna·Sirio Jansen-Sánchez·Ilteris Demirkiran·Leo Ghelarducci
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Abstract

The dominant method of processing sonar data is using image-based representations, requiring the preprocessing of image data on autonomous systems. We propose an alternative data processing method for remote sensing applications via the use of data in Comma-Seperated Value format. Experimentation on our alternative approach shows a reduction of processing time by 91.18%, an improvement in accurate object detection by Machine Learning, and an increase in SNR (Signal-to-noise ratio), PSNR (Peak signal-to-noise ratio), and other evaluation metrics.

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Logan Luna, Sirio Jansen-Sánchez, Ilteris Demirkiran, Leo Ghelarducci. 2026-09-17. Signal-Centric Remote Sensing via Alternative Preprocessing and Acoustic Processing for ML-Driven Applications. https://doi.org/10.1109/southeastcon56624.2025.10971547

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