Signal-Centric Remote Sensing via Alternative Preprocessing and Acoustic Processing for ML-Driven Applications
This work proposes an alternative data processing method for remote sensing applications via the use of data in Comma-Seperated Value format that shows a reduction of processing time, an improvement in accurate object detection by Machine Learning, and an increase in SNR (Signal-to-noise ratio), PSNR (Peak signal-to-no...