🤖 AI Summary
本文提出一种基于CSV格式数据的预处理和声学处理方法，以提高机器学习驱动应用中的目标检测准确性、减少处理时间并提升信噪比等指标。
📝 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.