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.